From 8b803c6cc1bfda44843b78265be7ec74f153189a Mon Sep 17 00:00:00 2001 From: corey-taylor Date: Thu, 26 Aug 2021 17:13:41 +0200 Subject: [PATCH] Update to CHEMBL 29 --- data/human_kinases.aggregated.csv | 210 +- ...n_kinases_and_chembl_targets.chembl_29.csv | 493 +++ human-kinases/human_kinases.ipynb | 2925 +++++++---------- .../kinase-bioactivities-in-chembl.ipynb | 2215 ++++++------- kinases-in-chembl/kinases_in_chembl.ipynb | 840 ++--- 5 files changed, 3413 insertions(+), 3270 deletions(-) create mode 100644 data/human_kinases_and_chembl_targets.chembl_29.csv diff --git a/data/human_kinases.aggregated.csv b/data/human_kinases.aggregated.csv index d304e8c..30c8c86 100644 --- a/data/human_kinases.aggregated.csv +++ b/data/human_kinases.aggregated.csv @@ -6,17 +6,17 @@ 4,O00238,BMPR1B|BMR1B,True,True,True,True,True 5,O00311,CDC7,True,True,True,True,True 6,O00329,PIK3CD,False,True,True,False,False -7,O00418,EF2K|EEF2K,True,True,True,True,False +7,O00418,EEF2K|EF2K,True,True,True,True,False 8,O00443,PIK3C2A,False,True,True,False,False 9,O00444,PLK4,True,True,True,True,True 10,O00506,STK25,True,True,True,True,True 11,O00750,PIK3C2B,False,True,False,False,False -12,O14578,CTRO|CIT,True,True,True,True,True +12,O14578,CIT|CTRO,True,True,True,True,True 13,O14730,RIOK3,True,True,True,True,False -14,O14733,MAP2K7|MP2K7,True,True,True,True,True -15,O14757,CHK1|CHEK1,True,True,True,True,True +14,O14733,MP2K7|MAP2K7,True,True,True,True,True +15,O14757,CHEK1|CHK1,True,True,True,True,True 16,O14874,BCKDK,True,True,True,False,False -17,O14920,IKKB|IKBKB,True,True,True,True,True +17,O14920,IKBKB|IKKB,True,True,True,True,True 18,O14936,CSKP|CASK,True,True,True,True,True 19,O14965,AURKA,True,True,True,True,True 20,O14976,GAK,True,True,True,True,True @@ -27,10 +27,10 @@ 25,O15146,MUSK,True,True,True,True,True 26,O15164,TRIM24,True,True,False,False,False 27,O15197,EPHB6,True,True,True,True,True -28,O15264,MK13|MAPK13,True,True,True,True,True +28,O15264,MAPK13|MK13,True,True,True,True,True 29,O15530,PDPK1,True,True,True,True,True 30,O43187,IRAK2,True,True,True,True,True -31,O43283,M3K13|MAP3K13,True,True,True,True,True +31,O43283,MAP3K13|M3K13,True,True,True,True,True 32,O43293,DAPK3,True,True,True,True,True 33,O43318,MAP3K7|M3K7,True,True,True,True,True 34,O43353,RIPK2,True,True,True,True,True @@ -48,16 +48,16 @@ 46,O75116,ROCK2,True,True,True,True,True 47,O75385,ULK1,True,True,True,True,True 48,O75460,ERN1,True,True,True,True,True -49,O75582,RPS6KA5-b|KS6A5|RPS6KA5,True,True,True,True,True -50,O75676,RPS6KA4-b|KS6A4|RPS6KA4,True,True,True,True,True +49,O75582,KS6A5|RPS6KA5-b|RPS6KA5,True,True,True,True,True +50,O75676,KS6A4|RPS6KA4|RPS6KA4-b,True,True,True,True,True 51,O75716,STK16,True,True,True,True,True 52,O75747,PIK3C2G,False,True,False,False,False 53,O75914,PAK3,True,True,True,True,True 54,O75962,TRIO,True,True,True,True,True 55,O76039,CDKL5,True,True,True,True,True -56,O94768,ST17B|STK17B,True,True,True,True,True +56,O94768,STK17B|ST17B,True,True,True,True,True 57,O94804,STK10,True,True,True,True,True -58,O94806,KPCD3|PRKD3,True,True,True,True,True +58,O94806,PRKD3|KPCD3,True,True,True,True,True 59,O94921,CDK14,True,True,True,True,True 60,O95382,MAP3K6|M3K6,True,True,True,True,True 61,O95747,OXSR1,True,True,True,True,True @@ -71,7 +71,7 @@ 69,P04049,RAF1,True,True,True,True,True 70,P04626,ERBB2,True,True,True,True,True 71,P04629,NTRK1,True,True,True,True,True -72,P05129,KPCG|PRKCG,True,True,True,True,True +72,P05129,PRKCG|KPCG,True,True,True,True,True 73,P05771,PRKCB|KPCB,True,True,True,True,True 74,P06213,INSR,True,True,True,True,True 75,P06239,LCK,True,True,True,True,True @@ -79,14 +79,14 @@ 77,P06493,CDK1,True,True,True,True,True 78,P07332,FES,True,True,True,True,True 79,P07333,CSF1R,True,True,True,True,True -80,P07947,YES1|YES,True,True,True,True,True +80,P07947,YES|YES1,True,True,True,True,True 81,P07948,LYN,True,True,True,True,True 82,P07949,RET,True,True,True,True,True 83,P08069,IGF1R,True,True,True,True,True 84,P08581,MET,True,True,True,True,True 85,P08631,HCK,True,True,True,True,True 86,P08922,ROS1,True,True,True,True,True -87,P09619,PGFRB|PDGFRB,True,True,True,True,True +87,P09619,PDGFRB|PGFRB,True,True,True,True,True 88,P09769,FGR,True,True,True,True,True 89,P0C1S8,WEE2,True,True,True,True,True 90,P0C263,SBK2,True,True,True,True,True @@ -102,12 +102,12 @@ 100,P14616,INSRR,True,True,True,True,True 101,P15056,BRAF,True,True,True,True,True 102,P15735,PHKG2,True,True,True,True,True -103,P16066,NPR1|ANPRA,True,True,True,False,True +103,P16066,ANPRA|NPR1,True,True,True,False,True 104,P16234,PGFRA|PDGFRA,True,True,True,True,True 105,P16591,FER,True,True,True,True,True -106,P17252,PRKCA|KPCA,True,True,True,True,True -107,P17612,PRKACA|KAPCA,True,True,True,True,True -108,P17948,FLT1|VGFR1,True,True,True,True,True +106,P17252,KPCA|PRKCA,True,True,True,True,True +107,P17612,KAPCA|PRKACA,True,True,True,True,True +108,P17948,VGFR1|FLT1,True,True,True,True,True 109,P19525,EIF2AK2|E2AK2,True,True,True,True,True 110,P19784,CSNK2A2|CSK22,True,True,True,True,True 111,P20594,NPR2|ANPRB,True,True,True,False,True @@ -119,19 +119,19 @@ 117,P21860,ERBB3,True,True,True,True,True 118,P22455,FGFR4,True,True,True,True,True 119,P22607,FGFR3,True,True,True,True,True -120,P22612,PRKACG|KAPCG,True,True,True,True,True -121,P22694,PRKACB|KAPCB,True,True,True,True,True +120,P22612,KAPCG|PRKACG,True,True,True,True,True +121,P22694,KAPCB|PRKACB,True,True,True,True,True 122,P23443,KS6B1|RPS6KB1,True,True,True,True,True 123,P23458,JAK1-b|JAK1,True,True,True,True,True 124,P24723,PRKCH|KPCL,True,True,True,True,True 125,P24941,CDK2,True,True,True,True,True -126,P25092,GUC2C|GUCY2C,True,True,True,False,True -127,P25098,GRK2|ARBK1|ADRBK1,True,True,True,True,True +126,P25092,GUCY2C|GUC2C,True,True,True,False,True +127,P25098,GRK2|ADRBK1|ARBK1,True,True,True,True,True 128,P25440,BRD2,True,True,False,False,False 129,P27037,ACVR2A|AVR2A,True,True,True,True,True 130,P27361,MK03|MAPK3,True,True,True,True,True 131,P27448,MARK3,True,True,True,True,True -132,P28482,MAPK1|MK01,True,True,True,True,True +132,P28482,MK01|MAPK1,True,True,True,True,True 133,P29317,EPHA2,True,True,True,True,True 134,P29320,EPHA3,True,True,True,True,True 135,P29322,EPHA8,True,True,True,True,True @@ -140,7 +140,7 @@ 138,P29597,TYK2-b|TYK2,True,True,True,True,True 139,P30291,WEE1,True,True,True,True,True 140,P30530,AXL|UFO,True,True,True,True,True -141,P31152,MAPK4|MK04,True,True,True,True,True +141,P31152,MK04|MAPK4,True,True,True,True,True 142,P31749,AKT1,True,True,True,True,True 143,P31751,AKT2,True,True,True,True,True 144,P32298,GRK4,True,True,True,True,True @@ -150,17 +150,17 @@ 148,P35557,GCK,False,True,False,False,False 149,P35590,TIE1,True,True,True,True,True 150,P35626,GRK3|ARBK2|ADRBK2,True,True,True,True,True -151,P35916,VGFR3|FLT4,True,True,True,True,True +151,P35916,FLT4|VGFR3,True,True,True,True,True 152,P35968,KDR|VGFR2,True,True,True,True,True 153,P36507,MAP2K2|MP2K2,True,True,True,True,True 154,P36888,FLT3,True,True,True,True,True 155,P36894,BMPR1A|BMR1A,True,True,True,True,True 156,P36896,ACVR1B|ACV1B,True,True,True,True,True 157,P36897,TGFR1|TGFBR1,True,True,True,True,True -158,P37023,ACVRL1|ACVL1,True,True,True,True,True -159,P37173,TGFBR2|TGFR2,True,True,True,True,True +158,P37023,ACVL1|ACVRL1,True,True,True,True,True +159,P37173,TGFR2|TGFBR2,True,True,True,True,True 160,P41240,CSK,True,True,True,True,True -161,P41279,MAP3K8|M3K8,True,True,True,True,True +161,P41279,M3K8|MAP3K8,True,True,True,True,True 162,P41743,KPCI|PRKCI,True,True,True,True,True 163,P42336,PIK3CA,False,True,True,False,False 164,P42338,PIK3CB,False,True,True,False,False @@ -174,15 +174,15 @@ 172,P43250,GRK6,True,True,True,True,True 173,P43403,ZAP70,True,True,True,True,True 174,P43405,KSYK|SYK,True,True,True,True,True -175,P45983,MK08|MAPK8,True,True,True,True,True +175,P45983,MAPK8|MK08,True,True,True,True,True 176,P45984,MK09|MAPK9,True,True,True,True,True -177,P45985,MAP2K4|MP2K4,True,True,True,True,True -178,P46734,MP2K3|MAP2K3,True,True,True,True,True +177,P45985,MP2K4|MAP2K4,True,True,True,True,True +178,P46734,MAP2K3|MP2K3,True,True,True,True,True 179,P48426,PIP4K2A,False,True,False,False,False -180,P48729,KC1A|CSNK1A1,True,True,True,True,True -181,P48730,KC1D|CSNK1D,True,True,True,True,True +180,P48729,CSNK1A1|KC1A,True,True,True,True,True +181,P48730,CSNK1D|KC1D,True,True,True,True,True 182,P48736,PIK3CG,False,True,True,False,False -183,P49137,MAPKAPK2|MAPK2,True,True,True,True,True +183,P49137,MAPK2|MAPKAPK2,True,True,True,True,True 184,P49336,CDK8,True,True,True,True,True 185,P49674,CSNK1E|KC1E,True,True,True,True,True 186,P49759,CLK1,True,True,True,True,True @@ -195,23 +195,23 @@ 193,P50750,CDK9,True,True,True,True,True 194,P51451,BLK,True,True,True,True,True 195,P51617,IRAK1,True,True,True,True,True -196,P51812,RPS6KA3|RPS6KA3-b|KS6A3,True,True,True,True,True +196,P51812,RPS6KA3-b|RPS6KA3|KS6A3,True,True,True,True,True 197,P51813,BMX,True,True,True,True,True 198,P51817,PRKX,True,True,True,True,True -199,P51841,GUC2F|GUCY2F,True,True,True,False,True +199,P51841,GUCY2F|GUC2F,True,True,True,False,True 200,P51955,NEK2,True,True,True,True,True 201,P51956,NEK3,True,True,True,True,True 202,P51957,NEK4,True,True,True,True,True 203,P52333,JAK3|JAK3-b,True,True,True,True,True -204,P52564,MAP2K6|MP2K6,True,True,True,True,True +204,P52564,MP2K6|MAP2K6,True,True,True,True,True 205,P53004,BLVRA,True,False,False,False,False 206,P53350,PLK1,True,True,True,True,True 207,P53355,DAPK1,True,True,True,True,True 208,P53667,LIMK1,True,True,True,True,True 209,P53671,LIMK2,True,True,True,True,True -210,P53778,MAPK12|MK12,True,True,True,True,True +210,P53778,MK12|MAPK12,True,True,True,True,True 211,P53779,MK10|MAPK10,True,True,True,True,True -212,P54646,PRKAA2|AAPK2,True,True,True,True,True +212,P54646,AAPK2|PRKAA2,True,True,True,True,True 213,P54753,EPHB3,True,True,True,True,True 214,P54756,EPHA5,True,True,True,True,True 215,P54760,EPHB4,True,True,True,True,True @@ -220,7 +220,7 @@ 218,P57058,HUNK,True,True,True,True,True 219,P57059,SIK1,True,True,True,True,True 220,P57078,RIPK4,True,True,True,True,True -221,P68400,CSK21|CSNK2A1,True,True,True,True,True +221,P68400,CSNK2A1|CSK21,True,True,True,True,True 222,P78356,PIP4K2B,False,True,False,False,False 223,P78362,SRPK2,True,True,True,True,True 224,P78368,KC1G2|CSNK1G2,True,True,True,True,True @@ -234,26 +234,26 @@ 232,Q00537,CDK17,True,True,True,True,True 233,Q01973,ROR1,True,True,True,True,True 234,Q01974,ROR2,True,True,True,True,True -235,Q02156,PRKCE|KPCE,True,True,True,True,True -236,Q02750,MP2K1|MAP2K1,True,True,True,True,True +235,Q02156,KPCE|PRKCE,True,True,True,True,True +236,Q02750,MAP2K1|MP2K1,True,True,True,True,True 237,Q02763,TIE2|TEK,True,True,True,True,True -238,Q02779,M3K10|MAP3K10,True,True,True,True,True +238,Q02779,MAP3K10|M3K10,True,True,True,True,True 239,Q02846,GUCY2D|GUC2D,True,True,True,False,True -240,Q04759,KPCT|PRKCQ,True,True,True,True,True +240,Q04759,PRKCQ|KPCT,True,True,True,True,True 241,Q04771,ACVR1,True,True,True,True,True -242,Q04912,RON|MST1R,True,True,True,True,True -243,Q05397,FAK1|PTK2,True,True,True,True,True -244,Q05513,KPCZ|PRKCZ,True,True,True,True,True -245,Q05655,PRKCD|KPCD,True,True,True,True,True +242,Q04912,MST1R|RON,True,True,True,True,True +243,Q05397,PTK2|FAK1,True,True,True,True,True +244,Q05513,PRKCZ|KPCZ,True,True,True,True,True +245,Q05655,KPCD|PRKCD,True,True,True,True,True 246,Q05823,RN5A|RNASEL,True,True,True,True,True 247,Q06187,BTK,True,True,True,True,True 248,Q06418,TYRO3,True,True,True,True,True 249,Q07002,CDK18,True,True,True,True,True -250,Q07912,ACK1|TNK2,True,True,True,True,True +250,Q07912,TNK2|ACK1,True,True,True,True,True 251,Q08345,DDR1,True,True,True,True,True 252,Q08881,ITK,True,True,True,True,True 253,Q09013,DMPK,True,True,True,True,True -254,Q12851,MAP4K2|M4K2,True,True,True,True,True +254,Q12851,M4K2|MAP4K2,True,True,True,True,True 255,Q12852,MAP3K12|M3K12,True,True,True,True,True 256,Q12866,MERTK,True,True,True,True,True 257,Q12979,ABR,True,False,False,False,False @@ -264,7 +264,7 @@ 262,Q13164,MAPK7|MK07,True,True,True,True,True 263,Q13177,PAK2,True,True,True,True,True 264,Q13188,STK3,True,True,True,True,True -265,Q13233,M3K1|MAP3K1,True,True,True,True,True +265,Q13233,MAP3K1|M3K1,True,True,True,True,True 266,Q13237,KGP2|PRKG2,True,True,True,True,True 267,Q13263,TRIM28,True,True,False,False,False 268,Q13308,PTK7,True,True,True,True,True @@ -272,7 +272,7 @@ 270,Q13418,ILK,True,True,True,True,True 271,Q13464,ROCK1,True,True,True,True,True 272,Q13470,TNK1,True,True,True,True,True -273,Q13523,PRPF4B|PRP4B,True,True,True,True,True +273,Q13523,PRP4B|PRPF4B,True,True,True,True,True 274,Q13535,ATR,True,True,True,False,False 275,Q13546,RIPK1,True,True,True,True,True 276,Q13554,CAMK2B|KCC2B,True,True,True,True,True @@ -282,7 +282,7 @@ 280,Q13705,ACVR2B|AVR2B,True,True,True,True,True 281,Q13873,BMPR2,True,True,True,True,True 282,Q13882,PTK6,True,True,True,True,True -283,Q13976,KGP1|PRKG1,True,True,True,True,True +283,Q13976,PRKG1|KGP1,True,True,True,True,True 284,Q14004,CDK13,True,True,True,True,True 285,Q14012,KCC1A|CAMK1,True,True,True,True,True 286,Q14164,IKKE|IKBKE,True,True,True,True,True @@ -294,28 +294,28 @@ 292,Q15119,PDK2,True,True,True,False,False 293,Q15120,PDK3,True,True,True,False,False 294,Q15131,CDK10,True,True,True,True,True -295,Q15139,KPCD1|PRKD1,True,True,True,True,True +295,Q15139,PRKD1|KPCD1,True,True,True,True,True 296,Q15208,STK38,True,True,True,True,True 297,Q15303,ERBB4,True,True,True,True,True -298,Q15349,KS6A2|RPS6KA2|RPS6KA2-b,True,True,True,True,True +298,Q15349,RPS6KA2-b|RPS6KA2|KS6A2,True,True,True,True,True 299,Q15375,EPHA7,True,True,True,True,True -300,Q15418,RPS6KA1|KS6A1|RPS6KA1-b,True,True,True,True,True +300,Q15418,RPS6KA1-b|KS6A1|RPS6KA1,True,True,True,True,True 301,Q15569,TESK1,True,True,True,True,True 302,Q15746,MYLK,True,True,True,True,True -303,Q15759,MK11|MAPK11,True,True,True,True,True +303,Q15759,MAPK11|MK11,True,True,True,True,True 304,Q15772,SPEG-b|SPEG,True,True,True,True,True 305,Q15831,STK11,True,True,True,True,True 306,Q15835,GRK1,True,True,True,True,True 307,Q16288,NTRK3,True,True,True,True,True 308,Q16512,PKN1,True,True,True,True,True 309,Q16513,PKN2,True,True,True,True,True -310,Q16539,MAPK14|MK14,True,True,True,True,True +310,Q16539,MK14|MAPK14,True,True,True,True,True 311,Q16566,CAMK4|KCC4,True,True,True,True,True -312,Q16584,MAP3K11|M3K11,True,True,True,True,True +312,Q16584,M3K11|MAP3K11,True,True,True,True,True 313,Q16620,NTRK2,True,True,True,True,True -314,Q16644,MAPK3|MAPKAPK3,True,True,True,True,True +314,Q16644,MAPKAPK3|MAPK3,True,True,True,True,True 315,Q16654,PDK4,True,True,True,False,False -316,Q16659,MAPK6|MK06,True,True,True,True,True +316,Q16659,MK06|MAPK6,True,True,True,True,True 317,Q16671,AMHR2,True,True,True,True,True 318,Q16816,PHKG1,True,True,True,True,True 319,Q16832,DDR2,True,True,True,True,True @@ -326,33 +326,33 @@ 324,Q496M5,PLK5,False,True,True,True,True 325,Q504Y2,PKDCC,True,True,True,True,True 326,Q52WX2,SBK1,True,True,True,True,True -327,Q56UN5,M3K19|MAP3K19,True,True,True,True,True +327,Q56UN5,MAP3K19|M3K19,True,True,True,True,True 328,Q58A45,PAN3,True,True,True,True,True 329,Q58F21,BRDT,True,True,False,False,False -330,Q59H18,TNI3K|TNNI3K,True,True,True,True,True +330,Q59H18,TNNI3K|TNI3K,True,True,True,True,True 331,Q5JZY3,EPHA10|EPHAA,True,True,True,True,True 332,Q5MAI5,CDKL4,True,True,True,True,True 333,Q5S007,LRRK2,True,True,True,True,True -334,Q5TCX8,M3K21|MAP3K21,True,True,True,True,True +334,Q5TCX8,MAP3K21|M3K21,True,True,True,True,True 335,Q5TCY1,TTBK1,True,True,True,True,True -336,Q5VST9,OBSCN|OBSCN-b,True,True,True,True,True +336,Q5VST9,OBSCN-b|OBSCN,True,True,True,True,True 337,Q5VT25,MRCKA|CDC42BPA,True,True,True,True,True 338,Q6A1A2,PDPK2P|PDPK2,False,True,True,True,True -339,Q6DT37,MRCKG|CDC42BPG,True,True,True,True,True +339,Q6DT37,CDC42BPG|MRCKG,True,True,True,True,True 340,Q6IBK5,,True,False,False,False,False 341,Q6IQ55,TTBK2,True,True,True,True,True 342,Q6J9G0,STYK1,True,True,True,True,True 343,Q6P0Q8,MAST2,True,True,True,True,True -344,Q6P2M8,PNCK|KCC1B,True,True,True,True,True +344,Q6P2M8,KCC1B|PNCK,True,True,True,True,True 345,Q6P3R8,NEK5,True,True,True,True,True 346,Q6P3W7,SCYL2,True,True,True,True,True 347,Q6P5Z2,PKN3,True,True,True,True,True 348,Q6PHR2,ULK3,True,True,True,True,True 349,Q6SA08,TSSK4,True,True,True,True,True 350,Q6VAB6,KSR2,True,True,True,True,True -351,Q6XUX3,DSTYK|DUSTY,True,True,True,True,True -352,Q6ZMQ8,AATK|LMTK1,True,True,True,True,True -353,Q6ZN16,MAP3K15|M3K15,True,True,True,True,True +351,Q6XUX3,DUSTY|DSTYK,True,True,True,True,True +352,Q6ZMQ8,LMTK1|AATK,True,True,True,True,True 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383,Q8IYT8,ULK2,True,True,True,True,True 384,Q8IZE3,SCYL3|PACE1,True,True,True,True,True 385,Q8IZL9,CDK20,True,True,True,True,True 386,Q8IZX4,TAF1L,True,True,False,False,False -387,Q8N165,PDIK1L|PDK1L,True,True,True,True,True +387,Q8N165,PDK1L|PDIK1L,True,True,True,True,True 388,Q8N2I9,STK40,True,True,True,True,True 389,Q8N4C8,MINK1,True,True,True,True,True 390,Q8N568,DCLK2,True,True,True,True,True -391,Q8N5S9,KKCC1|CAMKK1,True,True,True,True,True -392,Q8N752,KC1AL|CSNK1A1L,True,True,True,True,True +391,Q8N5S9,CAMKK1|KKCC1,True,True,True,True,True +392,Q8N752,CSNK1A1L|KC1AL,True,True,True,True,True 393,Q8N8J0,PI4KAP1,False,True,False,False,False 394,Q8NB16,MLKL,True,True,True,True,True 395,Q8NCB2,CAMKV,True,True,True,True,True 396,Q8NE28,STKL1|STKLD1,True,True,True,True,True 397,Q8NE63,HIPK4,True,True,True,True,True 398,Q8NEB9,PIK3C3,False,True,False,False,False -399,Q8NER5,ACV1C|ACVR1C,True,True,True,True,True +399,Q8NER5,ACVR1C|ACV1C,True,True,True,True,True 400,Q8NEV1,CSK23|CSNK2A3,False,True,True,True,True 401,Q8NEV4,MYO3A,True,True,True,True,True 402,Q8NFD2,ANKK1,True,True,True,True,True @@ -413,7 +413,7 @@ 411,Q8TDR2,STK35,True,True,True,True,True 412,Q8TDX7,NEK7,True,True,True,True,True 413,Q8TEA7,TBCK,True,True,True,True,True -414,Q8TF76,HASPIN|HASP|GSG2,True,True,True,True,True +414,Q8TF76,HASP|HASPIN|GSG2,True,True,True,True,True 415,Q8WTQ7,GRK7,True,True,True,True,True 416,Q8WU08,ST32A|STK32A,True,True,True,True,True 417,Q8WXR4,MYO3B,True,True,True,True,True @@ -421,18 +421,18 @@ 419,Q92519,TRIB2,True,True,True,True,True 420,Q92630,DYRK2,True,True,True,True,True 421,Q92772,CDKL2,True,True,True,True,True -422,Q92918,MAP4K1|M4K1,True,True,True,True,True +422,Q92918,M4K1|MAP4K1,True,True,True,True,True 423,Q96BR1,SGK3,True,True,True,True,True 424,Q96C45,ULK4,True,True,True,True,True 425,Q96D53,ADCK4|COQ8B,True,True,True,True,False 426,Q96GD4,AURKB,True,True,True,True,True -427,Q96GX5,MASTL|GWL,True,True,True,True,True +427,Q96GX5,GWL|MASTL,True,True,True,True,True 428,Q96J92,WNK4,True,True,True,True,True -429,Q96KB5,TOPK|PBK,True,True,True,True,True +429,Q96KB5,PBK|TOPK,True,True,True,True,True 430,Q96KG9,SCYL1,True,True,True,True,True 431,Q96L34,MARK4,True,True,True,True,True -432,Q96L96,ALPK1|ALPK3,True,True,True,True,False -433,Q96LW2,RSKR|SGK494|KS6R,True,True,True,True,True +432,Q96L96,ALPK3,True,True,True,True,False +433,Q96LW2,KS6R|RSKR|SGK494,True,True,True,True,True 434,Q96NX5,KCC1G|CAMK1G,True,True,True,True,True 435,Q96PF2,TSSK2,True,True,True,True,True 436,Q96PN8,TSSK3,True,True,True,True,True @@ -440,25 +440,25 @@ 438,Q96Q04,LMTK3,True,True,True,True,True 439,Q96Q15,SMG1,True,True,True,False,False 440,Q96Q40,CDK15,True,True,True,True,True -441,Q96QP1,ALPK1|ALPK3,True,True,True,True,False +441,Q96QP1,ALPK1,True,True,True,True,False 442,Q96QS6,KPSH2|PSKH2,True,True,True,True,True 443,Q96QT4,TRPM7,True,True,True,True,False 444,Q96RG2,PASK,True,True,True,True,True 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-459,Q9BQI3,E2AK1|EIF2AK1,True,True,True,True,True +459,Q9BQI3,EIF2AK1|E2AK1,True,True,True,True,True 460,Q9BRS2,RIOK1,True,True,True,True,False 461,Q9BTU6,PI4K2A,False,True,False,False,False 462,Q9BUB5,MKNK1,True,True,True,True,True @@ -473,7 +473,7 @@ 471,Q9BYT3,STK33,True,True,True,True,True 472,Q9BZL6,PRKD2|KPCD2,True,True,True,True,True 473,Q9C098,DCLK3,True,True,True,True,True -474,Q9C0K7,STRAB|STRADB,True,True,True,True,True +474,Q9C0K7,STRADB|STRAB,True,True,True,True,True 475,Q9H093,NUAK2,True,True,True,True,True 476,Q9H0K1,SIK2,True,True,True,True,True 477,Q9H1R3,MYLK2,True,True,True,True,True @@ -484,14 +484,14 @@ 482,Q9H422,HIPK3,True,True,True,True,True 483,Q9H4A3,WNK1,True,True,True,True,True 484,Q9H4B4,PLK3,True,True,True,True,True -485,Q9H5K3,POMK|SG196,True,True,True,True,True +485,Q9H5K3,SG196|POMK,True,True,True,True,True 486,Q9H6X2,ANTXR1,False,True,False,False,False 487,Q9H792,PEAK1,True,True,True,True,True 488,Q9HAZ1,CLK4,True,True,True,True,True 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PROTEIN,kinhub|klifs|pkinfam|reviewed_uniprot|dunbrack_msa +Q9Y5P4,COL4A3BP,CHEMBL3399913,SINGLE PROTEIN,kinhub +Q9Y5S2,MRCKB|CDC42BPB,CHEMBL5052,SINGLE PROTEIN,kinhub|klifs|pkinfam|reviewed_uniprot|dunbrack_msa +Q9Y616,IRAK3,CHEMBL5081,SINGLE PROTEIN,kinhub|klifs|pkinfam|reviewed_uniprot|dunbrack_msa +Q9Y6E0,STK24,CHEMBL5082,SINGLE PROTEIN,kinhub|klifs|pkinfam|reviewed_uniprot|dunbrack_msa +Q9Y6M4,CSNK1G3|KC1G3,CHEMBL5084,SINGLE PROTEIN,kinhub|klifs|pkinfam|reviewed_uniprot|dunbrack_msa +Q9Y6R4,M3K4|MAP3K4,CHEMBL4853,SINGLE PROTEIN,kinhub|klifs|pkinfam|reviewed_uniprot|dunbrack_msa diff --git a/human-kinases/human_kinases.ipynb b/human-kinases/human_kinases.ipynb index 26a103a..ebab240 100644 --- a/human-kinases/human_kinases.ipynb +++ b/human-kinases/human_kinases.ipynb @@ -2,20 +2,18 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, "source": [ "# Obtain Uniprot IDs for all human kinases\n", "\n", "The definition of _kinase_ is not as straightforward as one could think. Throughout the literature you can find several manuscripts that list an authoritative list of kinases to query in an assay or include in domain-specific database. Surprisingly, the criteria used to nominate how a kinase makes it to the list or not is not consistent or obvious, and this results into slightly divergent definitions of what the human kinome really represents. In this notebook we aim to discuss these discrepancies and figure out a way to consistently agree on a definition for our future kinase-centric studies.\n", "\n", "> To that avail, we will query online databases, web services and documents using `urllib`, `requests`, `beautifulsoup4` and `pandas`." - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], + "execution_count": 1, "source": [ "# Some imports and helper globals\n", "import urllib.request\n", @@ -30,11 +28,12 @@ "DATA = REPO / 'data'\n", "\n", "SOURCES = {}" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "## Enumerate all possible sources for human kinases\n", "\n", @@ -60,11 +59,11 @@ "\n", "* https://www.biostars.org/p/131138/\n", "* https://github.com/macarthur-lab/gene_lists" - ] + ], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "### A) KinHub\n", "\n", @@ -73,26 +72,76 @@ "> __Citation__:\n", "> Eid S., Turk S., Volkamer A., Rippmann F., and Fulle S. (2017)\n", "> KinMap: a web-based tool for interactive navigation through human kinome data. BMC Bioinformatics, 18:16. [DOI: 10.1186/s12859-016-1433-7 ](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1433-7)" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], + "execution_count": 2, "source": [ "r = requests.get(\"http://kinhub.org/kinases.html\")\n", "r.raise_for_status()\n", "html = bs4.BeautifulSoup(r.text)" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, + "execution_count": 3, + "source": [ + "table = html.find('table')\n", + "columns = [cell.text.strip() for cell in table.find('thead').find_all('th')]\n", + "records = [[cell.text.strip() for cell in row.find_all('td')] for row in table.find('tbody').find_all('tr')]\n", + "kinhub = SOURCES['kinhub'] = pd.DataFrame.from_records(records, columns=columns).sort_values(by=\"xName\")\n", + "kinhub" + ], "outputs": [ { + "output_type": "execute_result", "data": { + "text/plain": [ + " xName Manning Name HGNC Name \\\n", + "336 AAK1 AAK1 AAK1 \n", + "0 ABL1 ABL ABL1 \n", + "24 ABL2 ARG ABL2 \n", + "529 ABR ABR ABR \n", + "1 ACK ACK TNK2 \n", + ".. ... ... ... \n", + "274 p38g p38g MAPK12 \n", + "209 p70S6K p70S6K RPS6KB1 \n", + "210 p70S6Kb p70S6Kb RPS6KB2 \n", + "477 skMLCK skMLCK MYLK2 \n", + "181 smMLCK smMLCK MYLK \n", + "\n", + " Kinase Name Group Family \\\n", + "336 AP2-associated protein kinase 1 Other NAK \n", + "0 Tyrosine-protein kinase ABL1 TK Abl \n", + "24 Abelson tyrosine-protein kinase 2 TK Abl \n", + "529 Active breakpoint cluster region-related protein Atypical BCR \n", + "1 Activated CDC42 kinase 1 TK Ack \n", + ".. ... ... ... \n", + "274 Mitogen-activated protein kinase 12 CMGC MAPK \n", + "209 Ribosomal protein S6 kinase beta-1 AGC RSK \n", + "210 Ribosomal protein S6 kinase beta-2 AGC RSK \n", + "477 Myosin light chain kinase 2 CAMK MLCK \n", + "181 Myosin light chain kinase CAMK MLCK \n", + "\n", + " SubFamily UniprotID \n", + "336 Q2M2I8 \n", + "0 P00519 \n", + "24 P42684 \n", + "529 Q12979 \n", + "1 Q07912 \n", + ".. ... ... \n", + "274 p38 P53778 \n", + "209 RSKp70 P23443 \n", + "210 RSKp70 Q9UBS0 \n", + "477 Q9H1R3 \n", + "181 Q15746 \n", + "\n", + "[536 rows x 8 columns]" + ], "text/html": [ "
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UniprotIDEntry nameProtein namesGene namesUniprotIDEntry nameProtein namesGene names
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493 rows × 4 columns

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" - ], - "text/plain": [ - " UniprotID Entry name Protein names \\\n", - "0 P0C1S8 WEE2_HUMAN Wee1-like protein kinase 2 (EC 2.7.10.2) (Wee1... \n", - "1 P30291 WEE1_HUMAN Wee1-like protein kinase (WEE1hu) (EC 2.7.10.2... \n", - "2 P35916 VGFR3_HUMAN Vascular endothelial growth factor receptor 3 ... \n", - "3 P35968 VGFR2_HUMAN Vascular endothelial growth factor receptor 2 ... \n", - "4 P17948 VGFR1_HUMAN Vascular endothelial growth factor receptor 1 ... \n", - ".. ... ... ... \n", - "488 Q86TW2 ADCK1_HUMAN AarF domain-containing protein kinase 1 (EC 2.... \n", - "489 P54646 AAPK2_HUMAN 5'-AMP-activated protein kinase catalytic subu... \n", - "490 Q13131 AAPK1_HUMAN 5'-AMP-activated protein kinase catalytic subu... \n", - "491 O15530 PDPK1_HUMAN 3-phosphoinositide-dependent protein kinase 1 ... \n", - "492 Q05823 RN5A_HUMAN 2-5A-dependent ribonuclease (2-5A-dependent RN... \n", - "\n", - " Gene names \n", - "0 WEE2 WEE1B \n", - "1 WEE1 \n", - "2 FLT4 VEGFR3 \n", - "3 KDR FLK1 VEGFR2 \n", - "4 FLT1 FLT FRT VEGFR1 \n", - ".. ... \n", - "488 ADCK1 \n", - "489 PRKAA2 AMPK AMPK2 \n", - "490 PRKAA1 AMPK1 \n", - "491 PDPK1 PDK1 \n", - "492 RNASEL RNS4 \n", - "\n", - "[493 rows x 4 columns]" ] }, - "execution_count": 27, "metadata": {}, - "output_type": "execute_result" + "execution_count": 18 } ], - "source": [ - "reviewed_uniprot" - ] + "metadata": {} }, { "cell_type": "code", - "execution_count": 45, - "metadata": {}, + "execution_count": 19, + "source": [ + "reviewed_uniprot[reviewed_uniprot[\"Protein names\"].str.contains(\"atypical\", case=False)]" + ], "outputs": [ { + "output_type": "execute_result", "data": { + "text/plain": [ + " UniprotID Entry name Protein names \\\n", + "221 P41743 KPCI_HUMAN Protein kinase C iota type (EC 2.7.11.13) (Aty... \n", + "336 Q9H792 PEAK1_HUMAN Inactive tyrosine-protein kinase PEAK1 (Pseudo... \n", + "378 Q96S44 PRPK_HUMAN EKC/KEOPS complex subunit TP53RK (EC 3.6.-.-) ... \n", + "472 Q96D53 COQ8B_HUMAN Atypical kinase COQ8B, mitochondrial (EC 2.7.-... \n", + "473 Q8NI60 COQ8A_HUMAN Atypical kinase COQ8A, mitochondrial (EC 2.7.-... \n", + "\n", + " Gene names \n", + "221 PRKCI DXS1179E \n", + "336 PEAK1 KIAA2002 \n", + "378 TP53RK C20orf64 PRPK \n", + "472 COQ8B ADCK4 \n", + "473 COQ8A ADCK3 CABC1 PP265 " + ], "text/html": [ "
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" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], - "source": [ - "plt.bar(labels, y)\n", - "plt.xticks(rotation=45)\n", - "plt.title(\"Number of unique Uniprot IDs in each source\");" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "Most datasets sit around the ~500 mark, with the exception of Dunbrack's Kincore, which has less since it only considers Uniprot IDs for which structural information is available.\n", "\n", "As a result, we won't use Kincore for now since it's probably a subset of something else.\n", "\n", "Let's continue by analyzing the overlaps." - ] + ], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "### Dataset overlap" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], + "execution_count": 22, "source": [ "datasets = {\n", " \"kinhub\": kinhub,\n", @@ -2777,43 +2376,44 @@ " \"dunbrack_msa\": dunbrack_msa\n", "}\n", "uniprot_ids = {key: set(df.UniprotID.tolist()) for key, df in datasets.items()}" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "With the dictionary above (`name --> set of Uniprot IDs`), we can now analyze the overlap between sets:" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 35, - "metadata": {}, + "execution_count": 23, + "source": [ + "import venn\n", + "from venn import venn as plot_venn\n", + "v = plot_venn(uniprot_ids)\n", + "v;" + ], "outputs": [ { + "output_type": "display_data", "data": { - "image/png": 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" }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } ], - "source": [ - "import venn\n", - "from venn import venn as plot_venn\n", - "v = plot_venn(uniprot_ids)\n", - "v;" - ] + "metadata": {} }, { "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], + "execution_count": 24, "source": [ "def compute_petals(dict_of_datasets):\n", " \"\"\"\n", @@ -2833,16 +2433,24 @@ " involved_labels = tuple([label for label, i in zip(labels, list(logic)) if i == \"1\"])\n", " petal_labels[involved_labels] = (dataset_union & set.intersection(*included_sets)) - set.union(set(), *excluded_sets)\n", " return petal_labels" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "code", - "execution_count": 37, - "metadata": {}, + "execution_count": 25, + "source": [ + "petals = compute_petals(uniprot_ids)\n", + "for tag, values in sorted(petals.items(), key=lambda kv: len(kv[0]), reverse=True):\n", + " if not values:\n", + " continue\n", + " print(f\"{len(values):4d} unique Uniprot IDs in ({len(tag)}-way overlap) {', '.join(tag)}\")" + ], "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ " 473 unique Uniprot IDs in (5-way overlap) kinhub, klifs, pkinfam, reviewed_uniprot, dunbrack_msa\n", " 4 unique Uniprot IDs in (4-way overlap) klifs, pkinfam, reviewed_uniprot, dunbrack_msa\n", @@ -2858,48 +2466,29 @@ ] } ], - "source": [ - "petals = compute_petals(uniprot_ids)\n", - "for tag, values in sorted(petals.items(), key=lambda kv: len(kv[0]), reverse=True):\n", - " if not values:\n", - " continue\n", - " print(f\"{len(values):4d} unique Uniprot IDs in ({len(tag)}-way overlap) {', '.join(tag)}\")" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "We can observe several interesting points here:\n", "\n", "* There's a set of 473 kinases on which all datasets agree." - ] + ], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "#### Overlap for eukaryotic kinases only\n", "\n", "It might be that the disagreements are reduced if we only consider eukaryotic kinases." - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 57, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": 26, "source": [ "e_datasets = {\n", " \"kinhub\": kinhub[kinhub.Group != \"Atypical\"],\n", @@ -2910,16 +2499,36 @@ "}\n", "e_uniprot_ids = {key: set(df.UniprotID.tolist()) for key, df in e_datasets.items()}\n", "plot_venn(e_uniprot_ids);" - ] + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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TBRXnHhdEi+HIKQnnlS98UYl0Tcu0XSOFClS3ymK0vTNUqutG1naVufHGGzsuuOCCqNVq5ffdd1+L1Wplf/3rX3MAIBgMCpdccsnUUChEX3nllQPFxcX6YMexWq38/vvvb7TZbHzOnDnK8uXLg++8886giTNLliyJXXPNNSGbzcZzc3ONb33rW007duxwBIPBvuvx0qVLgzfccENAEAR8+tOf7ozFYvSDH/xg5+TJkzWXy8VWr17dtX379iEn55gMjrkmaDImqKldfx2AmwE8i0TXknFLsP3IDMnqbMy0HaNBlATFYExo6wyVJhJIs4/Kysq+zxGlFCUlJeqJEyckAHj77bdd4XBY2Lx5816n03nGF+Dz+bT+0+TtdjsLh8ODOhh79uyxfP7zny/bvn27IxqNCoQQDgAtLS2i2+1WAaCwsLBvfqPL5WIAUFpa2veY3W5nkUjEdGKSgPkmmmQ9NbXrL0ViDfB5ALEMm5NS6nc9tTDkP3rBpJlX/CXTtowWi0WKMsYFMMjZOLa0/xR5xhiamprksrIyDQAuvfTS7q9//esnLr/88umvv/66LZnn/cQnPjHJ6XQaO3fu3BMOh7e98MIL+wHAnO2aGUwRNMlqamrXLwXwBSS6k4yTNcCBqd/5j3Oaj7z2oUmzV/2ssHLxsUzbkwxsVinMOQRdM7Iu0efPf/5z3quvvmpXFIXce++9hfF4nK5ZsybQ+/xXv/rVtq9//esnrrzyymnDqQs8G+FwWLDb7SwvL89obm4Wv/rVr5Ym69gmw8cUQZOspaZ2/Xwk6gBfwTjvA3p462PLm+te/2DlnKt+WjbtkgOZtidpEMJBoOuq4TR0llU9Rm+55Zb2O+64o9zr9S74+9//7nv88ccP5+bmntRt6I477ujcsGHDsdra2qlPPvlkUjJeN2zYcPytt95yulyuheeff/70K6+8sjsZxzUZGcR0wU2ykZ5OMD8G8DbG+RT4A2/9cUVn0+6rq+df95OiqqVjuuh/wz2XfG/K1BkneexfePGZvPZoVAI4JZTEgdSMIhxOsXxpaencr371q4233367PyXGmGSEHTt25M2fP79yOPuYiTEmWUdN7foKAD8CsB3jXAABoOPE9g8AxKjb/vd1ddv/3vf48vf+YG0GzUoaP7pkVQcAxOOaU5aFWL7P1Zppm0xMejFF0CSrqKldX4SEB3gAE6QV2vnX/+iTmbYhHVgtYiQcVXNicTVos8rjOsHJZOxgiqBJ1lBTu96DhAAeB3Aow+aYJBtCuFUWo51dkaKSQqmBUpKxtZjGxsZdmTq3SXZhJsaYZAU9E8q/CSACYG9mrTFJFaIkKADQHYxmZZ9Pk4mHKYIm2cJtAMoAvJNpQ0xSi9UiRUKRuFdRNMvZtzYxSS2mCJpknJ5i+KsBvIRsbS9ikjQIJUyWxFhHV6TIzE43yTSmCJpklJra9VORKIZ/CeO8HZrJu8iyGGeMC4FQzJtpW0wmNqYImmSMnkSY7yJRCtGVWWtM0o3VKkUCoXiequnmSCCTjGGKoElGqKldTwF8HYlOMHWZtcYkE1BKDFkS4p3jICx64YUXTv3a175WmGk7gMT8w/POO296Os41ZcqU2Y888siY9ubNEgmTTHETgCoA/8m0ISap5deNv8wLGoGBrzUc4BwCbYGLUBgDbjNEPJJHvWv6HUPqGJNsXn755QlZ0nP48OE9qT7HeeedN/3iiy8O/vCHP2xOxfFNETRJOzW16xcA+CCAZ2Amwox7gkZAXOQ6NzzY85xxgRlctjvFztF0VHuz860Rl10oikIsFov5WUwjjDEYhgFJymw03AyHmqSVmtr1PiTqAd8EEM2sNSbZAKHEAABNY0kdWXQmSktL5959993FS5YsmWaz2Rb+6le/8t5zzz1FlZWVc1wu14JFixbNeOWVV+wA8Pbbb1slSVrU1NTU5zQwxlBaWjr3pz/9aS6Q8Fa++MUvFvc+f+jQIXnVqlXV+fn58/Lz8+fdeOONFV1dXRQAvvGNbxTW1NRM7d129erVVRaLZVE4HCYA8Mgjj3inTJkyu/f5Z555xnnOOedM93g8C8rLy+d84xvfKGSM9b2WRx991DN58uTZdrt94SWXXDKlo6NjSM7NXXfdVbJ8+fKThjf3fx1PPfWUSxTFcx555BFveXn5HJfLteDKK6+s7n0dve/jQw895Ou//YMPPphbUlIy1+PxLKitra0MBAJ92xNCzvn2t79dMGfOnJl2u33Ryy+/7GhpaRHe+973Vubn58/Ly8ubf/3111e2trYKAPChD31o0pYtW5wPPPBAsd1uX1hZWTlnKK9tOJgiaJI2amrXCwDuBdACYEwPjTVJLlQgqqYwJ3iKumsPwB/+8If8H//4x8cjkci2LVu2OP71r3/l/Otf/zrY1dW1/ZZbbum49tprp7a3twuLFy+Oz5gxI/bLX/7S17vv008/7QoEAuKtt956WkJXNBoll1566bQZM2bE6+vrd+3du3dPU1OTdNttt00CgFWrVgW3bNnijMViBAA2b97sKioqUv/zn/+4AOD55593X3DBBUEAeOedd6y1tbVTP//5z7d2dnZu/8c//nH4l7/8ZcFDDz2UCwB79+6VP/ShD01et25dcyAQ2Pa5z32u7c9//nNest4jwzCwadMm9+7du/fu3bt39549e+zf//73C860/dNPP+3ZtWvX3t27d++uq6uzfvrTny7vv83vf//7vL/85S914XB46/Lly6Nr1qypDgQC4t69e/fs27dvt9/vFz/wgQ9UAcDvfve7Y+ecc074zjvvbI5Go9saGhp2J+u19WKKoEk6uQWJgvitmTbEJLvo5w1a03XOD37wg+3nn39+DAAeffTRvB/84AcnZs2apYqiiM9//vMd+fn52mOPPebp2bbjj3/8Y5+4/PrXv869+uqr/b1T3/vzl7/8JYdzjgceeKDJ6XTy/Px847777mt68sknfbquY8mSJTG73c42bdrkfOedd6yyLPObbrqp49lnn3UDwKuvvupeuXJlEAA2btxYcOWVV3Z98IMf7BZFEQsXLox//OMfb/vTn/6UCwC//e1vfXPnzo3cfvvtfkmScP311wdXrlzZncz36YEHHmj0eDysvLxcX7VqVffWrVvPOFtxw4YNjbm5uUZ5ebn+jW98o/Hxxx/PNYx3l3vXrl3bOnv2bEUURbS2toqvvvqq+yc/+cnx/Px8Iz8/3/jJT35y/KWXXvIcPXo0LXFSc03QJC3U1K6fAuBGAP/OtC0m2QkViaoqzClJNA6S+rXiyspKFQBaWlrEaDRK3//+90/p/7yu6+TEiRMyAHzsYx/zf+Mb3yh/9dVX7bNnz44/88wz3n/+858HBzpuXV2d3NzcLLtcrgX9HyeE4Pjx41JVVZW2fPny4H/+8x93YWGhduGFFwZXrVoV/OQnP1m5Z88eS0tLi/Se97wnBADHjh2T33jjDbfL5crpPQ7nnBQVFakAcOLECbm8vPyk+trKykqlpaUlKbMbBUFASUmJ3vtvh8PBIpGIcKZ9pk2bpvT+fcqUKaqqqqSlpUUsLS3VAWDy5Ml9z9fV1ckAMGPGjL7HZs2apfQ8J1VUVGjJeB1nwhRBk5TT0xf0ywB2w1wHNBkEQohBwLmmMptkoSn/nFBKOQAUFRXpNpuNPfXUUwcvuuiiAc+bl5dnrFy5suuXv/xl7vz582PFxcXqZZddFhlo24qKCrWyslI5U+bkihUrQr/+9a/z8/PztVtuuaWzpqYm2tLSIv/mN7/xzZs3L+r1ehkAlJWVqWvWrOn4/e9/f2yg45SWlmrPP//8SWupDQ0NQ2pH53Q6jWg0elI0sK2tbdTe18GDBy2zZ89WAODw4cOyLMu8qKioT0gpffeU1dXVKgAcOHDAMmfOHAUA9u3bZ+l5TuvZPqU3RGY41CQdvB+AG4nxSCYmgyKIRFMV5gTnaVsbpJTiYx/7WNvdd99dvmvXLgsABAIB+vjjj7sbGhr6ROEjH/lI55NPPun73//937ybbrqpY7DjfeADHwjouk7uueeeoq6uLsoYQ319vfS73/0up3ebq6++Orhv3z7722+/7bzyyiuDgiDgvPPOCz388MOFF110UbB3uzvuuKPtn//8p+9Pf/qTR1EUomkatmzZYn366aedAHDrrbf6d+7c6fj5z3/u0zQNTzzxhOu5557LOd2q0znvvPOie/futb/yyit2TdPw3e9+N7/X8x0NX/jCF0r9fj9tbGwUv/3tb5e8973v7RSEgZ3HyspK7fzzzw/ecccdZR0dHUJ7e7tw5513ll944YWBXi8wPz9fO3LkSMr6zJoiaJJSegbkfgjA65m2xWQMQIhBCJim8rRligLAj3/848arrrqqe/Xq1VOcTufCKVOmzHn44Yfz+69lXXfddUGr1cr27t3ruO222zoHO5bL5WLPPffcgX379tmmT58+x+12L1yxYsW0bdu22Xu3mTp1qlpWVqZUVlYqhYWFBgCsWLEiGA6HhSuuuKJPBBcvXhz/v//7v0MPPvhgYVFR0by8vLwFH/7wh6t6PbbZs2crv/nNb4784Ac/KPZ4PAsfeOCBwhtuuGFQge7P1VdfHbrttttar7322qkFBQXzW1tbpUWLFg3o3Q4VQRDwnve8JzBnzpzZM2fOnDNp0iTlf/7nf46faZ+//vWv9U6nk82YMWPOjBkz5rjdbuPRRx9t6H3+7rvvbt25c6fD5XIt6J81myzIWO/UYJK99GSD/hRAHMC+DJtjkgY23HPJ96ZMnRHq/9gZi+UHIlFAL1IRseG4g5ksljdJlEisXr16mq7rWzJlw44dO/Lmz59fOZx9zDVBk1SyGkABgGczbIdJBvlo6ceH5Jn0JxZTXQ67JeD12P2psMnEpBczHGqSEmpq15cC+ATMMKjJCLDIYjQUjvsMg5nXqBHyzDPPOO12+8KBfu65556iTNuXLZieoEnSqaldTwB8EcBBAMGzbG5ichpUoAalxAhF4p4ct92cMDICVq1aFY5Go9vSdb6rr746lMlQ6Egx77JMUsHVACYhURJhYjIiZFmMhcKK18xbMEklpidoklRqatcXALgdwIuZtuWsEA7Ro9ksRfEc2ad4RY/mExy6h8rMTiRmpyK3EZHbCOUCB3jiP8IBJLqEcHAOMK7RmBEV/HpY9BtBqUsLSgGt0xJQWq0hrtFRTUaYyAgC1Tk4icZUh8NuGVXWoonJYJgiaJI0esKgdwOoR2JOYFZBrbponxwuspbESuUCpUJw6IWEQOA6iXODKNwgKtNJnOlE4XEpzA2icYNoYGAgfT0te/9GCOEEBISIXKYSs0petVTOU6rsApeIwC1E4Bau07ARE7qNiOjXg5JfabG2RA65WkxxHBqyKCjBcNxriqBJqjBF0CSZXApgBoCnM20IAIBw2CZFcx3Tg1MsRfGpgt3I5xqJMo1EjbgQ1Fuse7hONAylZzPva+PV97feXs9ch8biQgTAKbVjnBCZWajEbYJD90ketcReHT7Pd0G7RQ9Kx+PN1iOxo44TsQZHB9JXGz6mkCRRCUfiOaqmS7IkpryFlsnEwxRBk6RQU7veBuCzSIxIytwiDuGwVUbyHNNCU60lsVlUYnYjLgSMmOBXO+Xj4OS0hsepNIarQtxQETci6EvuIAITBbuRY6uMLHBMDdUAgNYl1yuN9vrIEedxtc0aGvyYEwwCLoqCGgorOblesT3T5piMP0wRNEkWawBEAGTkQkVkQ/As6prqmBY6V7AaXiMudGtBsZnFhNCQPL00wg2q6yHagZDUAQBEYhbRoXsdM4JLXfO6VzKNRtUO+Uis3nk4tMdzHIxM6MwQiyzGw1HF4/XYOyid2O+FSfIxRdBk1NTUrs9FYkLEpnSfW/Ipds9i/3zbpMgiMKLpYbFN7ZCPZpvwnQmuUUXrllsAtAAc1MocolsrylnSMT3nvE4WO27fHtzu3TtRPURCiUEpYZGY4nQ5JuZ7YJI6TBE0SQYfQWJIbjhdJ5S8qi1nWfu5tvLYIkOhAbXDcpgpwjiYUEHA4kKExYWIBhynVsNhLY7NsFdFlulB6UTkkHN7cIe3fiwl1jjUu/Iobx/VtcZBCEEIThZjyqAbCfkq9f5ixG3Tjhw5Ik2ZMmXe/v37d02fPl09+x6Dc+DAAXnGjBlzDx8+vHPy5MlpWcu86667St544w3n5s2bBxzxZDIwpgiajIqa2vVVAFYC+Gc6zketuuir6Vhkrw4vMRQajDdbd3OdjuqClc2wuBBR4kIdCKeiW8tzze++1L2wS4o32XaGd+fsiR11DNrIOVugvF1UhfeM7gaJExJXmc1jp92iQAa8AeCxp3JHdQ6TCYkpgiaj5XYkRiSlXIjcC7uqPIv8V3BGtHibZT9XhXiqz5k1cML0gNymB9BGZMMq56qT8q9oXmDEhM7oEee24A7vYSMijtubARDOBYEYisptoo2kLeKQThRFIRaLxVzzTDNmxxiTEVNTu34RgFkA9qbyPJJXtRW979hVnsWdV2lB6YTSaj04oQTwFLgqxNUOy9HYCds2ptCwY0ZweenNDZ/Mu6J5mejWUjZ3LdOIFLqicluyOsgcO3ZMXLFixRSXy7WgsrJyzpNPPunpfa62trbyAx/4QEX/7UtLS+c+9NBDPgDYuHFj7qRJk+bcd999BYWFhfPcbveCm266qULX9ZPO8eSTT3oqKyvnuFyuBZdeeunkxsZGsf/x7r777uIlS5ZMs9lsC3/729/mvP7667bFixdP93q9891u94ILL7xw6p49e/p+p4wxrF+/Pm/atGmznE7nwqKionnf+9738gd6fT/5yU9yCwsL57344ov2gZ7v5a677ipZtmzZtE9/+tOlXq93fk5OzoJvfvObhQcPHpSXLl06zeFwLJw9e/bMrVu3Wnv3+cUvfuGtrq6e7XA4Fubm5s6vra2t7H3us5/9bGlZWdlcu92+sLy8fM63vvWtgrP9LjKJKYImI6Kmdj1FoiRiJ3o7qCQbwpGzpGN60fuOfVSwG754o22XEREDKTnXmIRAD0t+pcV2IN5q3Wctjk0vueHobXmXNy8VnNqoh6NmG4TCAABVR1Je2wc+8IFqQRB4Q0PDrpdffnn/H//4x2GFU5uamuTW1lapoaFh1+bNm/c9/fTT3kceecTXf5s//elPuS+//PL+o0eP7qSU4v3vf39V/+f/8Ic/5P/4xz8+HolEtt10003dlFLce++9TU1NTTvr6+t3ORwO4+abb+7b50c/+lH+D3/4w5IHH3zwWCAQ2LZt27a9S5cuPa2RwJ133lnywAMPFL344ov7L7nkkrOulb/99tvOqVOnKu3t7Tt+8Ytf1H37298u+/CHP1z50EMPHfP7/dunTJkS/9znPlcOAKFQiN5+++1VDzzwwLFIJLKtvr5+1yc+8Ym+SSGzZs2Kvfrqq/vD4fC2n/3sZ0e/+93vlj3++OPu4by36cQUQZORcimAHCS6wyQdajHEwtUnrnDN616pdlrq1A5LQ3pr/MYWXKOK0mY9Em+z7LeWxGaW3Hj0trzLmhcLDn1ciaEgEENNwsDd+vp66Y033nA98MADJ3Jzc41JkybpX/va15qHcwyr1crvv//+RpvNxufMmaMsX748+M477zj6b/P1r3+9adKkSbrP52P333//ic2bN580rf6DH/xg+/nnnx+jlMLpdPIlS5bErrnmmpDNZuO5ubnGt771raYdO3Y4gsEgBYBf/OIXBZ///Oebr7jiirAgCCguLtb7i5yqquS6666revXVV11vvPHG/lmzZg0pRF5ZWancddddHaIo4v3vf3/Q4/Hol156aWDRokVxi8XCb7rpJv+uXbv6XpskSXzv3r3W1tZWwe12s1WrVvWFqG+//XZ/ZWWlRinFtddeG7r44ou7N23aZIqgyfihpna9FYm1wK2pOL6lJOopvuHYTVKOVhZvsu1icWFcrgGlAq4KcaXNelhttxy0lsfmltzU8IncFa3nUKs+Ltb/BQpN1WEZbUi0vr5eBoBp06b1ZZtOnTp18MzTAfD5fJoovvu22u12Fg6HT7qmTpkypU+Epk+frvScu08EKysrTxKpPXv2WC6//PLJBQUF85xO58IVK1bMAICWlhYRSHifM2bMGNTOI0eOWJ9++mnvvffe29Q7sX4oFBQUnJTBarPZWHFxcd9jDoeDRaNRAQBcLhd77LHHDv/nP//xTJ06de7s2bNnPvzww30e8H333Vcwbdq0WW63e4HL5Vrwwgsv5HR0dGTt588UQZOR8F4AUQBtyT6we2FXVcHVTbdwjcSVVstB0/sbGUwVYkqr9ZDaYTlsq4gsKL2l4ZO+i1sXUouRtRejoUAIOAXn2ihDohUVFSoAHDx4sG+97dChQ31/77no910fNU2D3+8f9nt3+PDhPjsPHDhgAYCqqqo+caGUnqTmn/jEJyY5nU5j586de8Lh8LYXXnhhPwD0in5JSYnae5yBmDlzZuxXv/pV3S233DL5iSeecA3X3qFy9dVXh1544YXDfr9/+5e+9KXm22+/vWrPnj2W//znP4777ruv7Gc/+9lRv9+/PRQKbV+xYkV3Nk8CMUXQZFjU1K73ArgFKfACfRe2zc9Z3HmN1inXad1y81gqeM9WmCJElVbrQbXTcsReHT6n9Jb623wXtS4gsiFk2raRQikxVI2PKgFo8uTJ2nnnnRe66667yvx+Pz1+/Lj4ne98p7j3+XPPPTfy2muvuffv3y/HYjGydu3aUk3Thv2B/M53vlNy/Phx0e/303Xr1pUtW7YsVFlZOWjdYDgcFux2O8vLyzOam5vFr371q6X9n//4xz/edv/99xc/99xzDsMw0NzcLL700ksnJb7ceuut3b/+9a/rbr311sm///3vc4Zr89k4fvy4+Jvf/Cans7NTEEURXq/XAABRFHl3d7dAKeVFRUU6IQSPPvqo56WXXvKc7ZiZZEzfFZpkhA8BaAaQvM4dhCNvZctSe2VkcbzVupdrdFhhKZOzw+JCRGmxHaBWw2GfHF7smBI+L7DVtym4Pac+1c27GcnXZePfzmQdTwIhTIeNx9jJ3qCQP6wSkb/+9a/1H/7whysqKirm5ebm6mvXrm3ZsmWLEwA++clP+l977TXneeedN8tms7E777yzubCwcNhF7zfccEPnBRdcMKOzs1NcvHhx+NFHH6070/YbNmw4/pnPfKbC5XItLC4uVteuXduyadOmnN7nv/SlL7X32FfZ0tIiu91u/Y477mi56KKLTkp+qa2tDTocjsM33HDDlFAodOz222/3D9f2wWCMkYcffrhg7dq1lYZhkKKiIvXBBx+snz59ujplyhT1ySef7Dz//PNnEkKwcuXK7ssvv7w7WedOBSSb3VST7KJnVuDvATwFIDlCRTkpuKrpYktRbJbSat3HdZq2SQHMMMiWXz27sHVn/WRmGEJORWHTuZ94z5v2XPe4F2HBoedIXrVCD0gn/C8VvKC02ILJOO6Gey753pSpM1Le2iwSUXIK813HLbI07n9XJkNnx44defPnz68czj5mONRkONQCOIFkCSDhKLzuxOWWwvj0eLNtTzoFEAB2/um/szsOnCiv+cKaf1/+g489DgBvPfTP89NpQ6YwImJ3vNG2k0rMXnht44fzLms5byyFSAWBatGY5jj7liYmZ8YUQZMhUVO73g3gOgC7knJAwlFwZdNFcq5aHW+27gMbuBVWKmnacmhq1UVzd+dUFIStboc274aLt3YfbSsJHG+fGBdXTrjqtxyPt1r32iZF5pfefPTDztndZZk2ayhIoqBGY2rWpt1nE88884zTbrcvHOjnnnvuKcq0fZnGXBM0GSrXIJENmpQm1XmXtZxnKYnNiTfb9mQiAzQejEhqOObwTSnpWyvJqSwMC5Ko+Y80eT3l+RNmkjnXqBJvse0XnZrPd37H9Y5p4f2dzxe+pAezN9QoCFSLxVWnphmiJAn62feYuKxatSocjUa3ZdqObMX0BE3OSk9d4A0AdifjeL4L2+bbqyJLlNbMeIAAoIbiEgDITttJyRSCRVK1qCoNvNf4Rg9L/liTbYfoVouL33/so+5F/uphH4SDpyXPgACCQPVoXE1awo3J2IYxRjCC7lWmJ2gyFC5HYkxS92gP5JrbPck5I3hRvNW6N91rgP2RnVYNANRwTEZiGDAAwFA0WbLLGbMrE3AQkRGInBCRAaLidwQFmw7HOd030KnxzhP78g+rukS5ABunsHAKKxdg4QQWEIhI1LIQAOjUFac7HnJQceiXFgJwAsIJwAkhjIAw2vN3CsJ6HucE4Il/E04ImCBSLRJTXR6XrTs174zJWCIWi1kJIS3D3c8UQZMzUlO7XkSiLGL7aI9lKY55cpZ2XKv65SOZLoOwehya7LRF/EeafQWzKroAoPtom9PQdMk3uaQrk7YlE4MQCyPEahBiZYRYDUpsjPT8AFZOiEg4NwAwkriLZgTg0EUW6rAYDne8pGppY0Vzve9od6u7HQwKNRCBAp1w6OA4yZPfeqwtUuTxTvcVFqiEDDnQRDgHeKJWg3CAGOAEnAuc92gkAN67bd+fnBiMSTG/YZEEqklUUCWBaiIVNJFSTaJUlwRBo8ScRj+eYYyRWCxmbWhokHVd/3/D3d8UQZOzcVHPn6PqDkOtuph3ect1RkRsN6JiUtLxR0vJOVMPNby0c3bR/OoWm9ep7nr0v4s8FQVNY2U9kAOCQYnVINTKCHrFzt4rcpxABgcjgE4AA+AG4TAIoAmMBUSOTnKW8JHabQGTBUtZVWehxx3lTfsKDjCDDrrP/+2pO1DpdXsnhcMFlJBUFCDy/n8ajFFBoAKlhHNwmXNQ3iOQCQEFAcApIYZAiEEJ0SkBoyBG72P9jmkyNmGEkBZd1//fokWLnh3uzmadoMmg1NSuJwB+C6ABidKIkUE4iq4/8R7RrRUrrZZD2dIJhhkG2fLLZxe27qybzBgTcioKm8/9xHveyLY6QUaIrBPiMCh16JQ4DUJcBiFOEAi93hghMHo8Oo1wrhNAIxx6st5pQjhx+GL5nBF2fHfhjnjIkpQEqV64YZDGpx5dGD68bzI3DMFaXNZUdu1Nb0oe7xl/F1RDEQiUSBn5xxk2swFwA3D1/NgAWAHYATgAHEdiHNg+AHUA6urWrosl4WWZjAFMETQZlJra9UsAfAXA06M5Ts6y9pmuOYEV8SbbbrMX6OBwgOqUOnVKnDql7j6xA+i7osY1wqFQcJWcEopMh4VWp+q2ODRP6xHvXv+JnGGvvwxG8zOPzwkd2jO5fM3HnpdcbuX43363jOu6WP2RO144036EQxLimBOqxEaMzPEUAOQCyAPgRUIkPQBaAewHsAfAESSEMSsiGCbJxQyHmgxIjxf4ISSmxo8YOS/udM0NXKp2WA6bAvgujBBZo9RlUOLUKfEYhLoZgZVwaIRD6xU7mbNQ+sVuMAjiYUtQU8R4weSumQ5v3Ne4t2D/mcKjQyW4f9dU3znLd9qKSsMAUHTZdVvrf/OT1fHWJoe1sGTQ8DQn0AAwMQafbsdIWoMZSIT6+4f7CRKCmA/gKiSE0Ve9cUM3EsK4Cwlh3Fu3dt2YCJ2bDI4pgiaDMQtAJYAzhZnODOHIvbT1MhYTulhcmNAXC41Sp05pjkaJT6fUywGRAGqP2KkCY10ih5odgeIzY2iCGmpzNDq8sfzJS44vPb6rcHs8ZB1xeFSPhCQjFnHYyqr6RMxWXBYmoqRFG496zySCAMApokIMxSMUwQEPCcDf89MfDxLCuBKJ7kne6o0bDgB4DcA2AAfr1q7LkhsWk6FiiqDJYHwQwGGMImkg57zO6aJbK4s32XYmz6zshwNUo9StCTRHp9SnE5IDgFFAJZzHRcbaKMeYLvDmnPCw395mdSquqkXNS9vqvPs6j3tGNPlDj0YkABDt9pNqNqkkq0yJnbVmk1OEhTjKkQhdppJAz8/hnn8LAIqRGDD9fgCW6o0b3gHwOoBtdWvXDWtIr0lmMEXQ5DRqatdXAlgE4ImRHkPyKfaeqfBHwMd3ijoDkTSBejRKc3RKcg1KXIRDJeAq5YjLBmtKZGeOP+JhS0hTRCW/umuGwxvzndhTuG+44VHRZtcAQI9GT6rZZJoqU4vtrDWbXECAqpg0bONHj4FEwlhv0pgdQDmAGwHc0RM+3QzgbQA769auM4dDZyGmCJoMxHVIZISO7MJNOPIua7mMKUL3eJwKbxBi7RE9r05pLiOwEQ6FcK5SjphssC7CJ07avaEJajARHs2bvOT40hO7C3fEgtYhh79Fp1sTbI5IrLHB56ya2gUAsZZGJ9c1yV5acdaaTU4RJRx2qnI7k0lSs1aHSRSJNfTedXQfgOkAlgPIrd644RASodNX69aua8iIhSanYYqgyUn0tEhbBWDY9Ta9eBZ1TZFytEmxxvETBtUE6lEpzVMFoYgBVgrECedqT71d21hYy0spnPCI395ucSquyoXNS5oP5u7qbna3D3V394y5h7q2vTHbNXVWi+j0qK3PPbnIWlTadLb1wHdPj6gYQZEq44zz+tJM/3XF3tDpJQA+WL1xQyuAfwN4yQybZhazRMLkJGpq118G4BMAnh/RASgnZbfWf1QPi21GROxOpm3phIOIikh9KqUFmkDzCQennMco5xHKkzRKqh/MYNj/2/9Manv7QD7TDZoztax79m1X1ltynGNu7VCUdYvDFyvoOJZzuL3Oe2wo64TcMEjjPx9dGD7SUydYVNZcdt1Nb5ytTrAXQcUkQ8axWBF5ZdQvID0UAagGUIJE1OVfAF6pW7uuM5NGTURMETQ5iZra9T8DEARQP5L9PYs7p7rnd18ab7LuyZai+KGiU2JXqZCrCrTQoCSHMCgUPCZwHk51mcKhR/9b0vrW/vwF6963X/Y49N0P/bOaabpw7ldv2p/K86YKKjDRmRctCrXbGxv3FhxM9WeB6sghDJ7wJPKHlJ4o+RAApUhkYhchkWX6FIA369auU8+wn0mSMMOhJn3U1K6fBGAygL+P6ACUE9fsQI0WkJrGggBygGoC9aiCkK9SWsgBiXLEKecRWWfHSBrbaTVv3lNYceV5J5yleQoATLtpxbE3vvrrBZHmToujODerOtgMBWZQPdRub3LmxooqFzbbju0s2pWMesJBzycgKKqYQgwucoGMJe+Z493kGgEJ73AtAHv1xg3PAHgGwOG6tetMbyVFmCJo0p/3INFCakRfOM8i/2QicqsREbK2ATUHBEUU8lQqFGqU5BFAp5wrImN+ypGRO281HBPUQET2TH53/ctZlqcIFskI1rfYx6IIAgBnlIXa7c1OX6yg+tzGc4/uKNquxaXUvMcEDBQxMYoCzYWmlJwj9RgADvX8OAHMQWJ9vr1644Y/AXixbu26CTXhJB2YIjiOWUnXECS+TL0/vW39+0bf9P6dWyUJl867EXF1C9FZab/nAEp0iFThkhiHJCigA9zREw7XnECNFhSz0QskiiD4FIEWa5QWUkAhnMdkxpqyoRuLHokLACA5rCfZIlhlQ48qQmasShYEYb+tzeGJeectqV+m1rv2uqAbTlkVGSdcZ5QbjHKdUWZwwjWDcoNTrhuU6Yk/uc4o74za1Igmn/F3xQliQgzFY1gE+xMGsKXnpxTAxwF8unrjhj8A+Hfd2nWZzIIdV5giOMZYSdeIAHKQ6HfoQ6K9Ux6Agp6fHLzbLNgBQAOg9PzJcbKX1/d35nXm0UB0Cu0IDjSklIBzERwiOBdBiA5K4iAkDkpiXKAx2wLdxqNGqXaYqhB0CxGIBhE6kYgCC4mDpr9WUKPUpYhCsUJpCQEY5TwqG+zE2SYnpBvRbjEAQOsRw16MuCr0Ppe9cORbY1K+JSa5ZVV0SqrgkVQxR1Ykt6RILkkTnZImWgWd6iCCWkUvNKJit6EJcQAg4IQQEAIOQjgIkPh33985KOFEEpgY10StI2qLtISckRNBd7g55IydCLiixwOeWFSTGKcICgoqkBCO8URjz08egOsBfLR644bHADxRt3ZddyYNGw+YIpil9Hhx+QCqAFQAmAFgKhJ3hQqAGIA43hW5KBKFxsd7/h3v+XNI4qNPKXof59jD7Zazj0ziXADnEhgXwSERxmTX0tgsrYHovIuVASwxxoZD4IwL4BCIQBTIJEIsJAKZRImFxGChUWIlcdDk9RQ1CLEqolCoCEIZI5AFxqNSokNL1oaRZJfdkD0ONXCkyZEztTQKAOHGDouhaIK7qihr7vgJOIptEbncEbKWO0LWCmfIVmwPWwlAYoZo6IwynVGuccIVQzAUJhiBqKwphsBUJjAOAiJwmVoNpxGQu4yoGBr62Tlski66ZFXKd0TsFTkBtywYolU0RKukS1FNVNvCjviRFp8z6iH7nm+uPH4wkDvealQ7ALyExE3uxQBuqN644WkAj9WtXZe0ZuYTDTM7NAtYSdc4kcgOqwAwBQnBq0bCYwkgIW7dSHwJupHk7iMsx+5Sz5v6MdIZ2kb48L0k21wl17MqOje+T2ocLBTKdUgwuASDy2AQwSByzgUwiBCISiREIdMIsZBIQiBJjFhpFMLZBZITCHFBKFAEodQgxEM5YpSzkMARH+5ryRS92aEL716zX3bb9d0PP1Wtx1Vh8dduzkh2qEgMUmqPyGWOsLXCEbROcgZthbaoVWeUR3VJjxkiC2qS1q1aNJUJw7qIEMoFajXcRljqMIJSEkoCOOySJrosmkx1lFSX+I/nWBVLWJOC+wK5h95qLzn6nxNVTUHNMpYSZoaCDYl1wwokxPHPdWvXZVOd5JjAFMEMsJKuKUKiLdlyADORCGF2I7EOEATQ2fOTloQIdUHlMpbjnEaD0RF8gTgKPh1cyqJE0TvP3B2GMYadT780qXnv4XxmMOorL+5euPrSeovdARhcTogkJHBQzrgEBpGIJAYb7SZ2EiB2GiQOGu7xHIkiCLmKIJRolORTJLI6KeORrFuRHAJ9dYJvHchnhkFzppYGZt92VV266gQtVCfTPV32mTl+x1R3tzPPErMohmBEDdGI6aIR0GQtoMq6zocneINBCCix6R4eEwJ6lyVpXkwsIhfk+KKHPO54W46suHzWmNcpaU4rNWxNUUfj9s7CQ483TD94JOTNGg87CchIXEcmA9gB4Pd1a9ftzqxJYwdTBNPASrrGgsQd23kALkBiPa8NQAsSc8syNqeMU0KUFXM/RUKxeqIZw570YJ2l+nKuis6L7xMH9QJ72bPptZKmPYfzl958zX6Lw65vefw/1YauCzUfuX5Qb4fr3AKNW2FA5gYkJhCLWiATNVeWQYlCCQ8JlPsJzDFNw4GAo8IZtM70+O2zvZ2uMnvYHtElPaTJeqdiUQOarDFOz36gUdkAUJvuZpoQ1zssIx/a3I94TMp1ONRmX270aP/HRWIIedZYjs8S9zolzdMYdR5/vqly52N1M+rC+pkTbsYQAoBpSLRq2wLgp3Vr17Vm1qTsxxTBFNCznlcK4BwANQAW4N1w5vGeP7MCvTK/Qp9SfCX1h0d05+i7ITRHcDGb1nz27jDPbvjfhVOWLzwxedmCdgAItnVa/vs/jy645DM3bXflDd4ZhAPQrYIt7pZ9ulVwUZUZQlTXqc4JGERwUIhEgYVEIJE4ZBKHRM1C41OwCjqZndPpmO9td8/I6XICIEFN0vyKVe1UrJrBaUYuBtRquLlOkyKEqiK6BIGpRcWhQT/PAmG02B7J81liuTJllp1d+bt/e2ju1u2dhYHRnj9LEADMQyKf4A8A/moW3g+OmRiTJFbSNRTAQiRE73wksjPbADQDeBLITA3a2TBKfAugaCNalyEWTi2VekH8gHTWlHQ1GheUcFT2lhX2eZvuglxFkESju6nNPpAIcgKiOiW34pZ8hkBlQWNxOaz5CZCYxif28zx1SFC4HXHm6hFGAplEYaUhWEgUMh2TtXajxSfHxbneDucCX7u7yhVwhDVJ69Ys2q4uXzBmSFnhPbO4EKRWwy3mKWWjFUJBYKqmCa4zbWNwyk5EXG0nIq42m6DJFc5g6f1Lnp93JJRz+I+HZ7/9YnPF2ZPDshsDic4zh5AYCnx19cYN9wN4yyy6Px1TBEfJSrrGC+ByJIZsSgCakAhFZG3BeC/MabVzp7WKdIa3jWR/2yw1jylE4xo5azhJi/fUwllPTvkXLbKhx9WTSgOYSIS4S/aqTskHcCYoLG6JaWcO1YrQIBKtLyTLQaBzGRHDixAKAHBYSBhWGkYi4Wa8JUn04RBVujiv1b0sv9lbYItZAqqsdSoW9Y32Ir+eIW/vbAxHCA2D4S8Pb5209bXj+brO6OSZed0fuuO8eo/PpgsCV2NRwcExtGrVmCGphwLeoyJhx8udoeKvL3zthttmbG/+zcG5rzzbWD3WMy7DAF4EUAbg6wB2VW/c8GDd2nXjoY4yaZgiOAJ6wp1zkRg5dAES3t4OAEPump8NGJPypkA3goTzEXkE9rlqsRGkQ0owEHvET4ufXPytK6ogWhNrMrpFsMbdkk+zi26qM1WK6SHC+AjHOYFDIgokkvAAGafQYUHQyEe3IUGAlvASaQQWEs1EHWMyIeCYndPpWF7QlDPD0+UKabLeGrfFD4c8EZ59zQsG5F0hjJfpHdZBhfAfv99Vsndbi3fd91fsdudY9V9veKP6Vz96fcpd31uxH4RzEM40VbDKsjHk7GCdU1Yf8jQeDbmbSh2hwi/Nf+P976vaf2TjnnNf2dVVkLE1+yRxAomb87kA/rd644ZHkcgkHTPZ06nEFMFhsJKucQG4DMD7kKjVqQfwD2RpqPNssDz3TKLo/rNveTrUxgSpVM+L7ZOGFL6y2G2GxWlXu060OnzlxVEACLX7LYamC86ppSRYYq80RGrpCXkmfx4fJQwyYn3+gcFFKNyOmO4GgwiJxBJeIolApmPm4lBojUjLCpo95+W1+Cjh6FBsytudBV3aMMsWsgUWF4LUdmYhfOu/RwsvWz39RPEkjwIAtR9bcOw7n3t2QcuJoKWozK1QyjVVFRzDEcG+84Pw4xF3S1PU2VbpCpT9ZNlzH3mzvWTL/bsWv9UWd4zJ73kPDIkb9UNIXMOuqt644QEAr030EKkpgmehx+ubgYTXdwkS3t4BJDI7xyzMbrFxq1RMOkMjC4XOVfNZjCjQh56VWTZvWmvdmztLCqZMCspuh7Hrv29MyZlZoZGphblEY3FLXEtfCFkgOgTovaLIdS6TqOFBGLngINxCI8RGgrDRULZ5iVZBJ+fktrmXFzR5i+0Rqz9uVQ+HPOHxUgfHYoMLYSSoCMGuuFw1PbcvPF4yyaPIVsE4drjL3iOCuqYKdiTKjEaEwSk7EvQeaxS0ljk57VN/d9FTsx85sODfjzdMPzaKl5YNRJGoKSwB8CUAu6s3bvh+3dp14yUpaNiYIngGVtI10wF8FonC9aMAngbGTgH2mTDKc6ugs1D/4njGDXKg/l8L/YEjkzk3BKe9qGlG9TVvWmX3aUkltjlqqdE9tFBoLzMvXdakxVXplf/92zzGGPVOn6TOufGKNjmqZ/wOm4hEhUgSdnBQonMZQVaAbqMEMonATgOZFUSOae4u2/KC5px53g5PRJf01rhNeb2tyD9Wwp3DYTAhjEYS68d258llDVabZMSimgAAhHBNVcWB2v8Nm7ghqXu78w7nW6Pez8zasvrComO7/9+2mlf8ii1rOxANkSYklnEWA/hV9cYNX69bu25fhm3KCKYIDsBKuqYAicGyFwLYg0TIM6u8gdHC8t0ziXqy53Xk2POzA+Fj5fOm3/hvi+RU9h55YtneI38/f9HMW1/ov53gZpJUaOTE9kjHh3o+TkBUrzWn8varLVUMXaJiREa83pdqCBgkEodEEjc8GrciaGREEC1UJzWFjTkXFTXmWgVd6IzblC2d+d0KE7MiszOVDCSENkdC/KLhk5Op4jFNsNklAwAEgauaJiRFBHtpj9u7ulVLcKq7q+oPF/9z8oN7znnq3ycmj/WJ8BzAW0h0nLm/euOGRwD8baKFR1NbDTvGWEnXOFbSNR8F8DsA5UiUNuzHOBNAbpUt3G4pR0w7aT2wo/vA1OK8Bbtd9sKwLDm0yeWXbg1HW0vC0TZH/+1sc9UCFiFxsLOLACcgcbeUEyhzTIm7pFwxboSlmB7MWgEcCInEYaNBOKgfAEHQKECzNh3tWjkihhuMJ90Vc4qqcG35kdz7Fm2edlFRY+7xiDP2Vkdh15GwJzoRBLAXFhOCROJWMS9eBgBOt8Vwe61qw8HOvs9k87GARY0bwqQpiS4wgsBUXadJFUEA0Jhg7O3OO9wes7V/Yd6b779rzlvzaHb1Yh8pRwH8B8CHAHyreuOGM5aYjDdMTxDASrpGAHAFgE8i0b3lGSRi5+MSvTy3EgYLE/6uEKlaRNL0mMPtLO0TRpejKEyJqAUjjV6nvaBvDcY2Wy0xuukZSxY4ARSn5Il75AJCwMW4EaEGH/trVmf2ELtho+HReIi5lph4Wckx33l5Lb6gKmt7un3BcdTRZESc6hGed3FF64v/PFQya1Fx0JVj1R//9Y5J1TPzAkVlibA9odzgHFTXqSSKLOlhy5aYszOsydEry49cWOXqLvjS25e8GNWlsf47CgP4NxJdrX7ZEx49mGGb0sKEFsGepJdzAXwOgB3Am8iibi6pguW7Z0DRu/s/pukxCQAk0XbS+pwgSKpuKFLfv72GRcw13LHd0oAJApwAqlPyxHLkfAAQ4yxKjeRfiLKC0wWxEN1GKSwkDBsNwE7DIEMTxFJ7SL6i5GjeHG+nu1Oxqtv8+d1xY+J4fGeDxYSgYNPdYq5Seu0tcxujYVVc/8Xn5+gGo5Nn5AU+/sVlh/tv35shKoqsOxX2hHU5tqMzf/dMr3/qby58Ou9Lb1/8j/pQzli/cWYA3kAiB2Jj9cYNDwH453gPj05YEexZ9/sCgFkAtiMREhj3cFkUudNaRfzhHf0fl0SrBgCaHpORmFoBADAMTRYFS5+IWap0D4tSBadEADkA1Sm54jlyIQeIqLAo1cep+A3EQIIYMEpgp11w0O7B2rhNdXfZrig5mlftCjha4/b4Wx0FXclqUj3eMGJikNp1j5xLCm7+7OJjN3928aCZmoRAV1XRbrdr3amyR+eCscuft3+Ku7viwWWbbvziW5f8dW933jDGQ2UtdUhk1n4CwMLqjRvW161dN+y+wmOFCbkmuJKuWQbgV0hMW/8nJogAAoCRCIVGCTs5NClLTk0SbZFguNHX+1go2upkXJfcjtK+BBq5XM9h8XfrIjkA1SE6g2X26phXLqIqi8tRPTChBPBUetcQrSQAhTvQplehVatExHCDcwJwzPe2O74w553KT07fNckiGPSNjkL/kZAnagrgmWExIUgduldwajln2o5SrqtqcpNjBobgcNB7NKxL4R8vef6mc/Kaz2jXGCIA4F9I9B/9efXGDQUZtidlTCgRXEnXyCvpms8CuBeJrKhtyLIp46nGKPBMg6oPWBOUlzP9UHPHjtnhaKtD1aLSkePPL3LaC5v6rwfKpbqPhWgMAAyJyuEi26SIz1pKVa7KET0g6Czj5Q5ZAyUMFhKBg3ZBgE6CesFCNM36yow3Z99Ytb9cYZS92V7YdTTiiqV6YsO4gRPOo0JA8GiF1KYPKnKUMk3XqD1dZh0NeZr8irXzu+e+fOPivCZvus6bYgwAm5FoAflg9cYNRRm2JyVMmCkSK+maUgDfRML7ew1jtMvLaOCiICiXzPkM6QrvJoyf5qkl6gSfXugP1PXWCTbPqL7mjd46QWLhtHhd94rIbvl4zGPJVVxSrqCxmKgYsfS/mrHFNF+XfP3UOrdD0oR6v4u3hayECMQQrYgIFsTGYalfSiGUi9RmuPQO6zGm0NM+f4YuWHWd2svKu99Mp11ljlBBnjVWcPebl/xxHLRb689sJArs76xbu64x08YkkwkhgivpmkuQWP87CGBvhs3JGHplQZU+uehy2hUe0XtgmabmuN8bX9wecEsEYGJcjxA2sTzp4VLijIjXTalzV3hC8tGAS2mO2Pu61DADItchcg4qWBATrYgSEWM/gzZNEJHLVDbsWru1gWsnr7kyg4rxuJhXUdn1SrrtqnAFShyCZv/ka6v+1BR1jafpJTMAVAK4o27tuiHXCGc741oEe8YbfRqJcSKvYBRtlMYDypKpl3OL5KPh+LDv5DSPYJeuM85zlMW9SovcNaHX/IaAW1boVZOPuhYVttsaQw7taNClDtbZhXMQpkPmBgQiIOEdyohNrMWKkUElZiUik7U2Wz03+k0z4YSEQ5ZJVZM7n8uEXdM8/qq4IcY+9sqVfxsH5RP9mYbEBPvP161d15BhW5LCuP2a9Uxz/yaAS5FY4J3QAsgFSrnbPo3E1GGVgDCR0MA8++TOGvcyW65qJwFM7KSXsyALBnlPdYPzq8u2FJS7w9KbzQWRhqB7UAEEAELABQmKaEWUUBh6FM54Fwr1CJxg4/c7mgyYRuOcEV3Mi08C6ZeyTBJ394ZBhEF3TiEHA956j6R47l/y/OXjpKC+l4NINOHeWL1xw+RMG5MMxuUXbCVd4wHwYyTuWP6DCbj+dypGsbcYnBvEYEMKz3AA0UmW/PZLPTVKoVxkaVEaHU6FajFqCuAAUMKwrKTZdu/ytwvOKeywbW/Lix705yg6G941mArQBQvigoyYocIa70KBFoKH68jIxXw0MMbx3dv+W/Kpi56o6myJpsx+pghREFAxVynr/zihXNcNKqfqvGeGYG937qEqV3fVl+a/uSgzNqSMw0gsKz1QvXHDtEwbM1rGnQj21P89BEBGolv6uLoNGykszzUJuhEeyraaR7D7L3AvCs62z5ECRrelTWuz2nUBHOA6Nd/Pk+CYleu33LNka/6V1cfch7o88d0dvnhMF0e1zkAouCBDESyIcgOiEkCeGoCXqcjQRX34PPOHgx7ZIqTl88LiQojIzCp6lb4MRkK4YWiCJR3nHwiDU3Yg4Du4srS+ZkVJw3grMagDsBPAj6s3bpiZaWNGw7gSwZV0TR6AB5BI6X07s9ZkF8zjqCandIk5FU5BgnPsVZ017mVMIIK1ST0hxFgMAGy5ms1QqZm00Y8yV1j87KJdvg/NOZDTGbPqW1rzogHFktSLPiHgVIIqWhEFB1FD8CrdyDMUWJN5nmTTVB+UXn2qwf2+2+eMaF7lSOBRMUBshkdwa7kAQAiYbpCM3jREdUlpjLhOrJv71rUF1siYuYEZIkeRKDP7YfXGDSWZNmakjBsRXEnX+ADcj4QA7sywOVkFt0oyLFIBVG3QlG3NLdg6LnQvjpXK5ZYWtVHu0rv7r2JZcxW7oRBTBAHYRI3cMPOgZ+05O/MoON5sKoi2Rt/N+kwVVILWt24YgVvxI9+Iw5bSk44Axjh++/2t+atvm9Vpd0lpixxwADwmBgSXlkftupsQzgw9U+HQd2mKOtsNRvVvn/PypeNsfRAAjiMRHv1u9cYNWfdZHArjQgT7rQGGkZiebNIPo8hbAsOI9J8d2AsHEJ5sLe6scS8jHMzSojVTHadls9lyNbsWE9K6HsgZw/7/e8H33y8/VPHiFx6s3PbzvxcooUgGP7Mc8ws6LF9ZtqWgyhOU3mouiBwLubR0z/PrWTeMUZFoehROxY8CIw5btsw6efaPBz1ur0U/77LytPfS5ByMxYSg6FVLBJsuGgbNWDi0PwcD3vrJ7u7Jt0zdMyXTtqSAfUhoyRerN24YcxWvY14Ee7JAfwBAQ8I1NzkF5nOWQ2en9f4zrETyL3fNj0yzzrC0a61StxEYJIkfos2QDSW94dAj/349p2NvnX3x529orPl/nzgKALt/+6+MrK3kWBT6ifl7c26YeSinvtut7Ov0KTrL7NeHCNwQLIhTCYoehTPuR6EehSOTzkbz0ZD44t/qPDetW5CxbGzOiMEUGrYVxnwGJ46z75F6DE7Z0bC74cbJey/1WWLS2fcYc7wOYBGANZk2ZLiMaRHsmQLxBQAumGuAg8I89slEObmRcKxE9nVc7FluWKnN0qw1UpUPmkEr2pjIGeGnNs1ONc1v7nFVXHxuwFHg0yW7lU9bfZG/69BxW7S9K42N3znOL22y3bN0a0GOrIhvNxdE/XFrVtV9EQrWk1EaNxTY4109YpgBz/Dg9g5rJKgK3/7IC2V3Xf10xfdu+28pANz30RfKNv3lsDtddnCdqpxBE3Pjpek659noiNsDGqPaPfPeWJppW1KAAeC/AD5avXHDORm2ZViM9SkSNwJYjMT8P5MBYHaLDZKYg0C0DgCYABqc55gSL5HLJL/eKUbZWUNWkkMXTypETgNaNE6UQFh0VxT1lXQ4Cn26YJF46ESbbM/3ptwrLXREhRtnHszJt8XFPR3eWEiVs3pBh1AwQUacM1BDgd2IwyHaERKsSFtbu6WXl0fmLCnsO19nS1T88R2vlnz2h8uaS6rc6Q2nx2mE2JhXkfkUi0IOn32P1HMkkNNwbn7zouUFJ/Zubisbb7XLESQ8wm9Wb9xwW93adc2ZNmgojFlPcCVdsxyJScgvAqevYZkkYMXeUuhGmABc9YnOjks8S9U8qcDapDYORQABQLQbEtNHPih2JOgxhQKAZDs521K0Wgw9rqb0cysQhiuqjjrWLd6WzznB2y350WwXwP70imFPmNSldCE/XdmkFpvIc4vsRu9PTl7Ca87Jsxk2h5TWzxChhKkhSddFPkkXeV46zz0YChO1tpij+XOzt4zHJBkAaAZQj4QQjgkna0yK4Eq6pgjA15BohTbWB1mmFMPnnMR1IxKaYSv3L3MtoQpX5DatdTg9PyW7ITGWXk9QtMocALQeMexFjyuCaE2dIFV6gtIXl2zLX1bS6tjamh89GnSpqc76TBU9YdIYEYiuheFRupHHNKR1PaqgzKk//NLq+twie/pvVAlnnFEqGGhTLHwuE7Ijk/ZY2NWSb40WXD3pSNaEapPMbgA+AO/LtCFDYcyJYE8/0K8gUazZnmFzsh49zz6ta5FcFq20VFtatSYpaASHe0mXHIbMtfTetkoOG7N4nHrwWEtfdl+kzS8aikZcZQVJ7wBkEXRy/bTDrtsX7s4NKLK+vS03Fh9lwXu2QAWui1ZECQFTg/CpAXi5PuaXQoYEIZxxg+qUIRS3sIWcZP6ax0F4a8ze8sEpey4Yp94gkAiLfrh644bKTBtyNjL+gRgBawCUwqwFPCvhcwsndy2yTOECmKVZa6IaH9E6muTQZUOjab+TL14yO3TsxS2eaFuXqEXj5NATL/u8U8piyV4PnJXrl7+ydEv+rNxu69vN+dGmsCPlNX+ZgIqJOkNwECWAXC0EDzfG5DVgOHDOQSlDAAAUK5+VaYMAoDHiavVZYnnXVhwuO/vWY5IwEq3VvpLtYdGsNu5UVtI11QA+gkQ/UJMz4F9ZMjO8tGi1FGAhMWR0nX2PwRHthhz3S6eVWKSaye9Z1q1H4/StH/+plBuM5Ewpi8358FVtyTq+SA2snlrvWlzU5jjU5Yl3xGwTYm2ZStCoBM3QYFG6USBaERFtiGB8uiUcnFCAQDB4hyHyEk1GmaSSEyM9oK4z8rNv71i49bW2ybrOhOoZnqY7vrnwzbwi25DHJnEQtMQczTdP3nPBP45O+fM47ZO+H8DlAK4H8NcM2zIoY2aUUk8Y9OcAggAOZNicrIVJlLZ/oOqCeIVrnrWTg+pEhGEMOEl+aHBMWd0yM3DU5gdLb3JMKil0RIUPz9nntQiM7O3MiQ+30fV4gXMQpkHmDIJoQ1i0ITKenGA1LnpcnvhxUWLxxCNc1EWUWOP0HcHAiL4Xj/xw15y3X2md/OX1i5/35luVDV/ZskxTmfj9X9e8MJzjEHAsymud//0dSx97rqmqdSS2jAE8AC4BcGPd2nWjuA6ljrF0+7ESQB5MARwUzWexNn9yxvVKmWOG5WhoF2WCB2xoGaCDIViZAE74+BFAjiUlzbZ1i7fnxzSR7Wz3TVgBBHrGOMlQBBkxQ4Fd6UKBEc/uvqTDgRBwzkk/WSe6wNChWNl8TkbWjPyNF1umrlw9aXfVdE84x2fRPnLn7K11+wMlDYeCwyrM5yDoUq3+91YenD8SO8YIAQAtAG7NtCGDMSZEcCVd4wBwO4B3Mm1LthKrdnlbPj7tg0ymNsvR8F4KKgOEcs5HVZslOQyJ6enNDE0VNlEnH56zP2f1lAb3zjZf7FjIpY3Htb+R0DO1Ik4lKFoEHjUAHzfG3vimgeD85OscYSRKOJS4lc0FGd4HoNuvSKGA6pg+z9fXGLx6hicsW6h2cHeXd7i2nQg7W2bldM4ssYeyor1bitgG4KrqjRvKM23IQIwJEQRwExJhUDMbdABC5+SWtt9YfTON6t2W5mgDAQBR8oIzZbSXeMluSMwY+2tFlZ6g9KUlW/OLnRHx7Zb8aFgbO3V/6YRQsJ7kGSjdyNMjcGZLT9IRwgFy2teAGvAzCodi4cPq5RnqViUAcHmkkzKULVZRjYa1YZefqEzUwroUumXK7qxI2EkRChKDeD+daUMGIutFcCVdU4hEvYnpBQ6A/7KSGf73lNeKHfGjUqfSt65AqOgBH7wV2lAR7YbEjbEbCiXgWFl5zHH7wt25LRGbtq/TpzCe9R/7jEMlaIIFMUOBTelC/liaY3gqfMAO5wSijlZd4OW6CN9Qj+X0SBoAhALaSe+HEtdlu1MaUdSlJepovbDo+DnjMy+pj90AFlZv3DA104acyli4GtwA4BiQvtZPYwFOgLY1VUtDSwsul5siB8Tgyb1BIQg54L3JACNHkBjlY3Q90C0r9DOLdvkuLGt2bm3Ni7ZEHOYoqGFACLhgQZyIRFdD8GpBksPHWhoj4Rx8MJsJEwzSqVrYHE6GlinvzbVqLo8cObjL3yec9QcCTlVh0rQ53hFlYfsVa9Aq6LZlhU25I9l/jMAAHEHiep5VZPUHeiVdkwvgSgC7Mm1LNsEkSls+Ou098anuRZajod1CzDg5+YUQCkodPAmeIJWZwNnYC4jNyvVbvrR0W75V0OmW1rzoeCl8zwS9xfaMcVHpQr4Rgz3TNg0HPkA4tBfCEQWHplj4jKEeb+klRYc2PXFsdv3BgCPQpUj/+8DeRVXT3U2VU90jLCMiCOlycGVp/eSR7T9m2AfgguqNG4oybUh/sr1OcDWAJgCj9mjGCz0CeJWeIxdbGkJ7BpoRCEF0gHON8NGLFxU55YyMmTiNSBiunlLvWl7a6tjfmRPPtokPYxlBgsIFUD0Gpx6HXXYhQESktSn2iDjLwEfBQKch8lJNQoGkkbPWoX7krtl7ImFN/sbtr19p6Fyonu5p/sL3zn1tNCZ2xGydC3LbZgJ4azTHyXI0JKJ67wPw0wzb0kfW1gmupGusAB4H8AKAUIbNyQpOEsDj4f2DipxsLSGypRK6PupEopLl/jIiMKIGpSEXAmcKnzVOPz5vr88m6WRvh1fRmJCdH+5xANMhMR2yICMqORACzc5oga4KDtmiB2wOzX+m7TjhFiYgzxalmwlH0tvynQ0CjsX5LYs++/rKX+/pyh/P1zs7gFUAauvWrkt7A46ByOZw6AVIiN94/kAMmSELIAAiJCcpBgCoODbWBCfnBKR1i7fna4zyHW25cVMAU0tPC7YI0yHHu3om22cj5PQSiQE340QhHLG4lc1Oh1mnwkEQ1qTglWVHqjNx/jQSBeAHsDzThvSSzSJ4FYCGTBuRDTCJ0paPDE0AASQtKQboC4dmtaAsLWm2fXLBntyGoEutD7jH7NSHsUhPoX1ci8CtBuBF9iXOcA4yJJt6yiY8msRLUm3UQPgVa9e5+S1DXpscwxxD4vqeFWTbBxYAsJKuKQAwC8DRVJ+LcYNs4S/VvsD/tuF5/vjGzfzZT4V5wJnq8w6VPgH0DlEAk5gUAwBE4DRbE2MoYaiddti1emq9e0dbbqw9ajOzPzNAb20h5xDiiXKKrCn8JuA9vUOHtrVgoF2V+XRG0+/ZtsftXQXWSHG5I5idXnXyOApgVvXGDfmZNgTIUhFEotdcM9IwLHcn3lgVQveC+Vj+vWW44ksAsAObP5rq8w6FYQsgkNSkGAAglBMk6VjJxC5q5NML9vjmFXTa3mnJj0Y0acwk74xXBAmKIENRQ8jRQvBkRdkbAR+4TnCQzTlRKUdYsfI5qTRrIAxOWVSXwitKjo7XOYO9GEhc3y/OsB0AslcEr0KipiTldKH9wgKUPpNLijrsxBmbhvmPxxCZ7eetGa3Z6RNA3zAEEAAEwYVRtkrrD6EgnGdXeLHQERXWnbc9zymrdFtrXmwi9/7MNgiFIVoRZTokpRv56R7iOyBDWBPsDzXQzQm3qTKvSJVJg6EwUZns6spL93kzQAMS/aAzTtaJYE8otBCJpqspJcrDNgO6z4v8vrBrHilqJ6AxP9ozdjeWEMCpV+o+udhybBgCCIBQIWlJMYkDIqs8wVm5fsud5+7I64pZjAN+r2Ku/2UnggyFiNDVIHyZbr02DEewBwKqk3ZN4pMNAWldGoloUqTCFciqOroU0QKgunrjhowvPWWdCAJYAKAjHSdSELMCgAzrSd1oKGhMh5qRuHyfAHotJcMVQACAIOaAs6SVM5CECGYBHJdWHHd8eO5+70G/RzkRdmZ/fdoEhwrQ+1qvBZDH9cw05CYYfh0YAXTK0K1Y+FyexutkUJXDBdZoQbrOl0EMAJ0A5mXakGwUwaUA0jJbywJrHABUxE8SPAZmEyGnvU0bJ0DbTZMv0X2W0mGFQHshhIJQB+c8iSLISaZLSUVq4IOzDngurTjh3NqaF+0yC+DHDH2t1wiYEkBeBrrNjPg2jjKEQLioWnhVso0ajLAuxeyi7iiwRsZsr9Zh0Ang3EwbkVUi2DM49zwAI576PBzsxBUTIPq70D6p97FO3pLHwWw+5Demw4b++N9TNlcpc8y0HI8cGFFiiyA6AK4nKykGQM8nJHMlEm5ZoWvP2ZVbnROybGnJN9ufjVGoCE2QEdNjcKoB+NLWgzQxQ2KEnxkCQUe7LvIKQ4AnuYYNfs64IcYW5WU2JyFNHAewLNNGZJUIAqgAwAGE03VCL/JfbkPjqk7emhvjEetB7LjeBsceHynsTJcNQGIcUnhR3gpLY+QAYXxknk4iKSap3S4I4RkLh05yh8S7z9ueR8DJznZfzDCnP4xpCAUXLIiBgyhdyDeUNA3vJXwUearEoAxdqoXNGu7swZGiGEJ8hqdzIiTHdALIq964wZVJI7Ktd2g1EpOI08Y8LH1mK15x7MBrX+Hgkg3OvfOx/NfptCFe7nB3XVG2WmqP1VHFGHmROxXdycwMBQDOCE84gulNQJmV65dvnbPfVx9wKeb0h/EFlaASAboWhoepsEhOBFL18eIghGB0t3GUIWyIcKkSL5NVcjxZtg1G3BDiVa7uibAuCADdACYD2J4pA7JNBKcgzW3SKBH4ubj4/wD8XzrP24vhFKX291e9l4a1ztPGIQ2TRGaokdS1TGYQRigoN1Jfs9nLosI26w0zD+fs68yJm+t/45PeAntDhVUJIE92wU+ElFQWJhqnjfIQ1OAdmsSniDppowwp7aMb0uRwmSM0ETJEgUTUrwoZFMFsiy/NRMJFnhBwArTePGUVKBGk9vio1iA5AEJJ0jrF9B1XJ4wI6SsUrCltst0w81DOrnZfzBTA8Y8gI04ApnSnaHDvqNYE34VwolGOqCrzackw60wEVEvEZ4nnjfMhu70EkfAEM0bWiOBKuoYg4QmmpTwiG2h/X9VS3Wcpkxsjh0erMoRQCYlm9EkVDqYTRmg6YqEcV1QddVwzpcGzvTUvGlLlCXEFMOmZYi8RRQ3Bq0fhSPoJkrSqTQ10GQLP10XuTcbxBkNjgs5A+Bxfe5qScTKKH4nrfsbIpnCoG4CMRJfxcU/ggsLq2HTPeZZj4d1JyeYUBBvn0M6mVpwxnNj81KRAw558ZhjUUTipe9KF762X7K4B192YTgxCU+0Jclw/7YhrcVG7fWtrflQxzAkQEw0icEMgiexRrhNJcvLuZNyiJxzBZKV2EU4Z96synyUa5HUMNMszSagGjVe5Aq6d/sKU5khwTSMtD//yeqXh6HLOmSTl5e0t+PAtf5BLitOVnBgGkNEeolnjCQLIxQQRwOg0T273RcVXyS3Rw1RjyUlkoYIDOHtWafM7z5WEGg97p1z1sd2zPnDXVgA4+uJfB70TYzplqRRBgTDcMvuAZ1Fhh31La54pgBMYQsFFK6LM4KISQB43klRcn8T8ZspIBIRQVeaTzr71yGGcGA5RS3nLudb//f0qtbFpQcHHP/K9sq986UsA0PrL36Szd3IUQE71xg0Za/2UbSI47ifI6x7Z0vHeiuvFLqVJiOhJSwIilNrAcdYsyq4jOwrzZy9tsnoLFNFqN0qXrDoWaT3miXd3DNj5P+EJpuZzIlEDH5u3zzs5J2jZ1poXNXuAmgA9LdcImNKNvGRMpBhJx5gzQXV0aCKvZjR1JR4GJ8wpaSkvmI8fPnKhff7cZ+wzp3dIebkx3+prH9c7O2fHDhxKV51i7417upso9JFNIugDUpt1lQ10XF9xITG4JvmVtqQemAoucHbGpBg9HhX0WFi255f1TXS2egsUKkpGrKNxwA9hYk0w+Z6gTdTJ7Qt35xbYo+KOtlyzBtDkJKgErXcixajWCXnyG/8RQKccYdXCpyfzuP3hINwhplYEtY5OG1cUn3VydV/vZPusGe0QhFjs0KF09k6OAchJ4/lOIpuuPD4A47ofZOjcvDKl1DFTbo42JP3glDrPVihvqDEBAASL7aSwKZUshqEpA7phTKVGshNj3LJKP3fOzly7pJPdHb748Bscm0wECIUhWBAz4nCoQXjBRvhBSUG7B2qgi1Hu00WekqJ2zgmzCakVQb07YAUA0e0+qayKiGKMxeLp7J0cB9LVked0skkEx3U41LCLYtelJe+ROuJHR9wRZhA4CECojePMhfKCnCg5MJTYSYLHNEUQJMuANjGdMJJEjfJZ48Id5+7IZYxgX2eOOQXC5Iz09B6NcQPCSJtwJy8x5uSjUgOdqoXP5CT511GDE5ZqT1D0uOIAoAdPHuLLdd1GbdZ09k5mQOZGbmWTCFqQhiG6maJjdcUywjkTA6o/2ccmlFp6eruc8csuWh2GaHOq0fYTfeGleFebhemaYMsrHTApiemEgSQnHFrijIh3nrsjN6DI7HC3xxRAkyEjyFAIhaEEkDfMesIkFMsPcmBOYuBgqpz8BtsGJ7pd0lLaVk7Kz48Ri8UfP1LXl+QT3XcgD4Zhs02dmvbeyZkim0RQwjgVwcgcb2G82rVIao7Wp+QEQ0yKAQDv5Pmt7XvfKIl3t1t0JSY0vfXsJEfBpIA1J2/A9VhuUJ6McOgkd0j67KKdua0Rm34s6EpqQb/JxKCnCbeihuAz4kNPSklGsfxgCAydusgrmYCkhg91RnWboKe8t6p1yuSXozt2rYrtP5irdfqt/r//43ox17fHNn1qupuWZOyOOJvqBMelCDKJUv+qslVil3KC6snt69kHpVaAD0kEi8+9rMlQY+Khp345hxsGdRSWBypWvP/wYNszjbDRDpGY5A6Jn16w29cQdKmtEbvZB9RkxBAKQ5AR0yLwcAZBtCNypu05ByEkucsPJ5+AGIQjqMh8pi1GtibrsDqnhk3UR50ZezYKP3LLMy3/84ij9ZFff4VzJkm5eXsLP/6RtPZORkrC1UPHFMEU03ntpHO5QGQx2dmg/aGCbaiFu4RSlNdcd6y85rpjQ9me6YSRUdyllbnC4qcW7M49agqgSZIgFEywJArrwUFFxxn7DVNKUyiCAASDdxsiSnUReaJOktLxSmdUt0tayssGiCTx4rW3Z6x3cjaQTeHQcVckFpvs8kVn5iyVW6L1qfT1CaV2nCUpZqQYKjVG2ju0xBkWb1+4K/dY0Km2mAJokkQISRTWGwpsWgiewXwJzkFIikUQIKAMXarMpydr3JLOqGGlRso9wSxBBs7s0aeSbPIEM94+J5lwSkjnNZOuEINqC1VZausfCXWA85Rk1mpRQaMiH/YNSokzIn5m4e7cEyGnao5CMkkVggUxQ4FVDcInu+A/6ba+RxiHsyb46+/sKt/zZqc30KnIslVgMxf7uj70hdnHPLkDZ0/3QhiiXIRHk3ixpJKmEb2YfuicGJJgTITp8kAiKTKtI/T6k02eYABIQRf5DOG/onQ2swkesT3enPKTUWoDT1L7tVMw4tQAAcEwCuYLHVHh9oW7cpvCdq0pbAqgSWoRLIhzBqoEkYd+E+s5J5TSoSWM9UIFgk9+a97h/3lx5Zbv/LlmZ3e7Ynnoq9uHMOWAQDDg1yQ+NRklEwLhVGd0onx3bEhMk8gIpgimACZTITLfd77UHj+W8pQnQigIkfgQs0NHcALocaoJEhvSZ6XAHhU+u2hnbnPYrjWGneO6+YFJ9iDIiW5TSjdy+3qOcgjDDYV++J45x6ct8EUlmXJvgVW/bE1Fy5Hd3e6h7Es4UcCha0noKypSJqiGMO47aCERjWTIYLewbBLBCDJYMJlMui8ung4AyewNOiiUWsBhpFJs9aigUunsIVGfNU4/s2hXbmvEppsCaJJuBClRS6gGkMt1iJwTQsjQsqYHY/dbHZ7iCseQG/sLBvyayKs45aO6lomEiXFDHLfNQ/phA9Bdt3ZdxjJEs00Es8meEcFEQsILc5eLfiU9xaaESkOZHjEatIioCtKZu1u7ZYV+ZtGu3K6YxTgRcpkCaJIRqASNCNCUAHKZDgulIxfBl/5x3PfGs00FH7x7VsPQ9yI64YipMqpHel4AECkT44Y4EeppvQCGlKmeKrJJdCLIrkSdERG4sGgaKBHFkJaehV5C5FTONQMALSKoVBo8e9chaeSzi3bnRjWRNwTdE+GLa5LFUBG6IBFFixI300bmkf33ieO+P67fV/2Z7y48MH2hb1gj3gQDXbrAyxjlIy6gFwkXIrqYztZlmcILYNA65XSQbSI4psOhnADhRXnLRX981NlhQybhCaZWBKOCRujAYx5sok4+vXC3T+eEH+n2TIQ1DJMxABG4QUSoeoi71RBxDWffZ/5Un/+nH++r/uwPFu5fdFHhCBI2CKMcIdWCISTUDIxImRjVpYnwfXICSE0nrSGSTSLYDSS39VC6CdYUVnOZWoWg1pWucxJCZCC1nqCeKJM4bdlRFgxy2/w9Poka5KDfFECT7CLRfJtHou0o1SJwDmWfvz9yqOhvPz806fM/PmffvGX5I56uTg10G5QXMoGPaAyUQLgQ0eWJsCboBHA8kwZkU/ixEQkRFIFUZTqmDk6A4OL888UupTmtTfAIlcFT7AlGRP3UWkGRMHxs7t4cl0Wlu9t9cbMZtkm2wUEIFaBRO5RIKyl1FPHjkh1nDG3+7eFDFVQgfP3at2f1f/xXm1e9PbyzE044gqqMKdYYdgzXdkI4jerSRFha8CDDa4JZI4Kb2GP6SrqmHkAegJZM2zNcQkvyK7hVcAupmBV4JiiRkeJ2c3qM6iCcgPCE2oPjhpkHPYWOmLSjLTdmCqBJlkII4YwIXBdtJBxpIeXOYn5MtGHQtbbfb7nyzWSdXDB4QBdRZgjEJRhnbO12GhScRMa/CPoAtNetXZexQnkgu8KhALAfCREcU3ACBJcULBcCakva5YBQC/jo0sCHcBIYCtWEnjKJVVXHHLNyu6272n0xcyCuSRZDSM96ORW5JtoQjjSTSXps6BMoRnl6ThmCqsynDndPSrgQ0uTxLoIlALZk2ohsFMGMTRgeKZG5viLDKeWltEn2YBAip7pEAuhpnyYz4dyiVuslFY2uHe2+mDFwroyJSZZA+kQQSAihYEMk0kwq9DjS0peTMgQY5R5d5DnD2o9wGtHGvSeYC2Bbpo3ItqtYHYBhZXJlA5G53ulCVPNnxCciRAZPgwhGBHWKN2B5/4wjObvbfTHFEDM6/sTE5ExwALzn//2hIlcFK6LhZlJhKOnoUEVAGQLaML1BSrjQrVomggjuybQR2SaC9QBykH12DQqnhCiTnLOEbrU97ecGABCZp2EElReK8aFpB1yH/J54SJVTmohjYpIETvIC+0Mlrggy4qEmUmEMb0r9iKAMIU7gNETuHeo+MmWW4xF3xiYrpAEvEmVxrZk2JKvEZhN7LA6gGYk3aEwQme8rBgER4kbaC1sJIQIhAOGpHUrpsSnC7Qv25LYoNtYes427mY8m4xBOKTlDlrkg87ggQwknhDDF9ckEhCGoSqgaytYy1SUGsKMh97CK9McY1QCey2S7tF6ySgR7OIAxlBwTmeOdRqN6ZrKbKJU4T60XKAsGufuqt8ujMVFtVBwZ/8CamAwFBkIpYWf8bggyj1MRariJVDAttZnylCHIKM8xhLPXK7ok1d6tWDtZVl6ek0YxgP9m2gggO0VwLxKps1kPp4Qo5Y5ZYiD9oVAAiRrBFCbFEHB85vLtJW6bKu49lhsiBCRZQ0NNTFIMHUrzbMHCY1SEFmoilX3TJ1ICAeUkpMm88mxbOiXN3hpzJGVCfZbiRcJL359pQ4DsFMEjwNC6O2Sa8EJfCQDQDIRCAQCESEhhKPSm5fvypxf7HduP5gd7yySIeOZG2iYm2QDnIOQsnmAvgoXHCIURbiZlSGHNDzUQMCgvZJSfsUTDKuq2Y2F3+jPN00c1gGezIRQKZKcIHkQiOSZrCvkHIzLbO51G9e6MGZBCT/DS2Uc9K2Yf922pLwj0lkKwKFWplJWfGROTUyCEkqF/N0QrjzADUqSNFKXQKE44IpqEM84blCmTj0Y83Sm0I9OUAHgp00b0knUXtE3ssQiA7QAqM2vJ2VGL7VOEoNqZqfMTQiSkoG/ovEnt9pvP31+8taEgqOjvlkIYcaphkEbaJiZZBqXDvEGU7DyoReGKd6VuOUZg6NZFXsbJ4Mk4FmpYD3T70tZ/OM34AKhI5H5kBdnqbT0P4BZkeMTGmVCKbU4uUzuNGaPK4OLMIMdf/9fCYOORyZwZgi23qGnS8mvelB3uszak5oQIyc4MnZQblD93+bbyPSd8oVBcPukiwuJUJ4IpgibZTaI6kABgw75BlO0IxrtIviBzVXJgxA20BzeOGITzuCbzUlkhDac+LRBGBcrE3V35GW0llkKyKhQKZKEn2MPrAAqAVC5Uj47Y9JxiorDwaBcQGt95fna49Vj55Mtu/PeM6z71OAAcfeXv5w9lX5Lk31+OPS584ep3Ko51uGLtIftpg3GZSnVCE11Ek3leE5OkwgklI10moJxJdoSiraQ0VcX0lCGgibySk9O/v05Js4U0OaAyIWtEIomIACoAPJtpQ/qTlSK4iT0WQCJLtDzTtgxGfJKjnCrGqItZA8cPTM2dumC3zVcYlmwOreScS7fG/K0lsa62s49gIYQma5YgJRxrr9hWGomL+tFO98AjXHhCCKloeoMm2QtPlEeMuJ8uEbhOLYiFW8ikVGSMEk5UAmLoEj9t/dEpqo72uH28ZobOBPBm3dp1RzNtSH+y+WL2HLJYBLVCW6UQ1rpHdYxYRDKUmMOeX+rvfczuKwoTQdSiHY1DaRiQtC/oB5buzyvKiVj2NfnOKOxGjKrklLFKJibZBOdEGI0IAokawlRmjFKDd2sSrz71cbuk206EXeMxM1QAMBXA7zNtyKlkswi+DqAIWWijYRNEZhNzaEwflSdoKDEJAESL7aQegVSUVENVhtDFgiTmGo2Sc6paHCvnHMvb1pAfPNv3ncWoZq4LmmQ7ZJQiCKQ2Y5RwEgcgaBIv6P+4RA35eMQ9HpNipgPYXrd23aFMG3IqWXsx28Qe60CiZrAk07acijLJmQOdxUeblCJYrBoA6ErspLUHpmuyIFtOW5M7DQIBo8wOLXBHxU+u2Fm2u9EX6p8JOhiGYibHmGQ3iXBocsaLpTJjlDAEdImf1ErNQg3L4aB3vIkgATANwO8ybchAZPvFbBMSC6lZhVps91KNDbxuNgwkm1MTLLZItL2x7wsW87c6uaFL9rzSIXwRCB2NIygJBrlj1Zay1oBd6RggEWYgWJxqhJqJMSZZzbDLI85Eb8aoFkluEw/KEOEEdkNEDgCIhFFZMKxbOor8Z9l1rDENwMG6tev2ZtqQgch2EdyMREg0qy66Wr41FwYfkmicDU/59EOdh3fMjnW1OvR4VGra8vwim7ewyeYtGEqolY6mY8yHLthb4LJq4qHWnKGXeXCAacQgZnKMSRby7pdh+OURg9I/YzSpUycICENIlVgVAHgtcXdn3NYW1CwpHpKddqYD+E2mjRiMrL6QbWKPNQNoQkIIswbNZymgyujqA3spPffSPY6CshNHNv35yn1P/E8t55xUXPje14a0MyEUI3QFz5/W6Fo2tSlnx7G80HDvMZiZHGOSrXAypJ6hw6U3YzTSktxEmcTQXXiZwB0eWfEcDPgaknXsLGEygOMAdmTakMHI1mL5/jwN4DokRixlBcwhuoWQmpS4PaECrzj/2q0Ato5gd4oRzBIs84Xkj1y4u2TnsbyQZgy/HsmIUVWy6U4ASfGGTUySBQMRKEafFDMQgszjepS4ou2kwF7AkzQHj4ByHtFElNpFTdjZVdCUnONmDTMAfCebiuNPJas9wR6eQWK0kj3ThvTCJGonWnLCoaNk2J6gVdLJnau2lB3rdMe7o9YRXSyMqKCZ4VCT7IRQQlL33RTtPKSGkZPM9UFikKAhslKbqDtfai4fTyJYBaADwNuZNuRMZP2FbBN7LAzgnwDmZNqWXrhEbURn6tm3TDGJYvkhiyABxycu2VlMKUhDh3vEky+YQnXCAVCeVWu1JiacEzLaGsGzIdoQjrSREqYnJ5JGAN0taPDrFtYUdZ21XeIYQQSwAMBPs9kLBMZGOBQA/gZgNRIhw4wuGjOZClwgIozUzfEbBsPyBFfOPeqZV97h2ny4eNShXD0iKFTmIouTbPCIxwyMcWy466Wcowe7xW/95nK/r8DO/vjAVueWlxpPGq+jKgau/cisyOVrpsUAoH6/X/zrz3Y4W46HRJfXyt5z4/TIsssrxssFM5kIlLCUfiapyDVBImqkhZS6ynhSup/4BMXYr3jGyvV4KCwG8ELd2nXbMm3I2RgTb/om9ljLSrpmMxJtd3Zl0hbdZ7ESg2vZ4QINvVh+SmGX9QNLDxRvaSgIGGz0AQAjIihSrmauCw6T5/7vkE2ynLwOe/Odi8I337mor1nznrdbpZ9/6w3P4kvKFQCIhlXy8Dfe8FyyenL0rtop3Qd3dEi/+u5bnvwShzFlTt54yyQcMTyR4cVJMjNDB0Gw8KgWIZ54F3xWL0Zd0uCmGn9ZdUsuZzQnFLZ3J8HETFKExODchzNtyFDI+nBoP/6MRKZRRvWHSVQAH3oIMrXwIZVIuKwqXXvFtvIjbZ5I+JTJECNFjwhmhugwaTkWEl79d4Pt+o/POeN0glf/XW+bdU6h6s2zMQDY+kqTLMmUX3HDtJgkC5i9uFCbs6RIee3fDbb0WD424JwKJMVeYH8kG0LxLpI/2kbbBBxOUZcPhXNaigq6s2bZZ4QIAJYAWF+3dl0o08YMhTEjgpvYYwcA1CExiiPDZIcfONQ1wY9evLtI0QTjhD956w1cIwYYYWb3mKHBGMcf7t/quu4js8J2pzzo7yzQGSN7326Va66q7FuzbawLiKXVHp2Qdz935ZM9emND0LwJ6QfnRBBIGtfqKWeCBbFIKykdTdlEjqRY/aol0hmzNbpd0fmUJiFUkzkWAtgCYGhlXlnAWHuz/4RE94GMkez5faOEcJAz2rNsSpNzblm7a2+jL+mz0fQwVYjMx0RIPdM8//ghm8trYedcWHbGi/Sr/26wefJsbPa5hX0ejRLTidUunfR7tjllpkT1sfb9TSkchKR6PfBUBJnHOYMQ85PckR4jV4rbD0S87YYhxMChF+Z3VybRxHSSi0SbyweyPRmmP2PtS/QGgDgyWTyfLZHQBIxg8AxNj00RPnzRnpI9jblhIwUOmxERFCqZnuDZaD0Roi8+WWe74TPzzxgeYozjjU3HrMsvr4j19/osNpHHoycvQ8fCKrXYxZSvfY0leBqSYgZCsiOsBJCnx2E9+9an4xB0y96w1w8AmiZ05vmCC5JqYHogAJYCeLBu7box1fZtTF3ANrHHGIA/ApiVUUOyJBoKDqMnOeY0esohirojFq0zbEvJhcGICCoRzHXBs3F4d6cUCar0O7e/4PviB57O/cHa/3oB4HufedH74hNH+i6cu99qkYNdCl2+quKkvrSl1R69sT5wksd9oi4glla6syFDOSvgIISkKSnmNAhnohWRaCsp5cMMi4qEUatgyHvDvgAAxBWp3WLRyh32mCs1xqaMuQAOA/hPpg0ZLmMxlPUcgE8B8AAIpPvkQkhTQEmWvG+cg4AOFKCtmd7onlbc5dx8aPTlEIOe3SCMacQgEqdcI6ZXMgjnXlymzFxU0Hcj0tUeo/d/4ZWc27+9LFA8ydWX3fnavxqsc5cUKW6v9aTf6MKaEvWfv9nrfPbRA7ZLa6fEDu7skHa90WK5/dvLutP4MrIazklak2JOhUpcYRqxxP0k15bLhzwUN0+K2xvjji6VCz3fH8IMnQaKCrpmHWmwvZkqe5OMB8AUAB8ZS2HQXsaUJwgAm9hjcQB/ATAvE+cXQpoKAJxkwXvHYWAAvzTXGRNvqdlbvKcxN8RSHK00wkKcSnwIsw8nLharCF+BnfX+eHxWBgAen5VZ7Ym3rqs9SvdtbZMvuKrqtOkkDpfMP/XNpYHtrzVZ7n7f03mPPrjdtebT80JmecS7pD0pZgBEK8JKALlMG7pz4ZPj9q3B/JNaQiqq1JLjji4gZEw0o6AAlgN4pG7tuqxpbTkcssSjGTb/B+B6AAUA0jqFmXCAaCzGZSoRhWW4WJmzRDj03ZsvAo7bVuws7gzZ1K7IyNqiDQcjIqii2xjRWshEJa/YwX76r9UneQvefDvb+NR1g3oQVTN9+pcevKQ75caNUTKRFHMalDNBImq0gxQ6i3nj2TYXwIhL0KxvdRe2939c14UICGhBXvek1nZvUorxU8hSAHuRaGgyJsm8NzMCNrHHYgB+BuDcTJyfKkaEizSJI1VGzGme4CWzjnmq8gP2Ay3eUU29H7IBUWquC5pknEwlxZyKYOURPQanHsNZazgLLDHnCcXR3a2fPkBb04TO/Nzg/NRYmTRm9vyZ1Q2yz8aYFMEengfQCmBquk9M4kaES1kggpwb6Pc7LHBHxZuWHyjadTwvxNIUSeGMcKZQncjMFEKTjJDRpJgBECyIRdvJWTPYc6W4/e1A4YANsxVFarNa1WqbVcmawQGnUILEOuBX6tauS8pYuUwxZkVwE3uMA3gAiayktIZ1xYDawSxCFnw4OUNPLj0Bx6cu3VHSGrApgVh6h3LqESFOpTEbWjcZ42Q6KeZUemoHRSUAz2DbiIQRh6hb3gkUtA/0POfEMAwaLMzvTvtN/hBwIREGvbdu7boxP/VizIogAGxij+0D8AoS3crThtQR7+QStaTznAOSSIyhAHDFvIacEm/YerDFm/a7MiMkKEQ0PUGTzJANSTGnIloRiflJIWcDl0wUyDHn0ZjTH9TlQW9YNU3o9LijmS0HOx0RwCUAHh4LzbGHwpgWwR5+AaAcSN58r7Mht8T8XMy8CHJwAwApzglL71tysHDX8bxQEodeDxkjRjWAwGyhZpIJsiIp5hSIwHVKYcQ6kT/Q8z457nhnkFBoL6oqdsmSXphlIdELALwE4MlMG5IsxvxFaxN7rB2JAvq0JclY60KdXKI2TjJbNk84GCGcfPrSHaVNXY54KEnNsUeCHhCi1GK2UDPJCFmRFHMqog0RNUR8hoqTSohEYlAH1eW3A/lnqSckXDdosCAvMDmVdg6DRQD8AH4ylhNhTmXMi2APjwGQARSn42RiSFNpXA8ym5jROzQObqyc3eDMd8fkw605Ix6Smwz0kBAnEjNF0CStcE4oACNbkmJOgnAmyIjFOkhh/4eLLDFnfczVETHOftOqaYLf447MPNt2aaAKQB6Ar9etXZdVoefRMi5EcBN7TAGwEcA56Tqn1BKrN5ySN13nGwivI0auP/egZ/eJ3FCme7kZUSFxJ26GRE3SCONUFKiRtcOFBQuPGXE4tAj6bpi9kmJ/K1A4pMJyVRW7LLJeYrWomRyblYvEdIgvj7W+oENhPF2wXgFwFMCMdJzMWh8+yqxC2tYhB+KW5fsKO8M2I5Nh0P7oQTEmmCFRkzTCQahAslcEAUCwIhrtTJRMSMSgNqrL7wQKhthajTCd0VBBXiBTI+RyAFwM4Lt1a9cdypANKWXciGBPycRGJJprpzxpxbHbf4JbBGem1gXnVXS6F1W15exv9mXNBUAPiXEimSJoklYESoysWw/sD5W4wg2IWgSOIkvUdTjqaY+zoU8A0TWhK0Mh0RwAlwL4Yd3adS9n4PxpYdyIIABsYo8dAvAPJGpYUorUpSo0rHUYTsmd6nOdCiUcH7vswMyGDldYz6LKBCNCVRAO0DHR89BkjJOoD+Q6Ac++9cBTEGTE490k1ysp9ncCBcPqsamqYqfVopVZZC2dGek5eFcAn0/jedPOuBLBHn4FgCENE+gtJyKHDZfkS/V5TuWac4+WeGya9XiHM9STGJA1GEEhRi1mQ22T1MM4FbM9FNqLIPO4zHS7wJhlSzC/czj7ck6YYdBwQV6gKlX2nUIOgBWYAAIIjEMR7EmSuQ+JhdyULia73unYz2xiTjpzhXPsili7rGHagSZ3JyVcR4bLNE5FC4pxKmWRe2oybuEApSTTTeyHTlV+BK8dKVCVYYRCe9F02pXjCacjJJqDhAD+aCIIIDAORRAANrHHDgB4FIkRHynDVhfqolG9y3CnL0v01hWHJofjktodsSgUXM86TzAqqKAgZkjUJJUkbjwpFYgxJtL1BcJQ4I7jv3sKZK7wYYc1VVXqtFq0ClnSUtmzOAcTTACBsTtKaSj8AUANgGkADqbqJPaDgZ3RmTnniEEtZcNre5lR2u1cMrWt7M2D+ScAgIAZHKAcmS6Q6AcHjJAQpxYusRgZExcok7EH51QkYBoGmiidhZS6orYj3a5Ih2aPkma9HJXS4cG2ZbpBdt3/7ML2t+snc90Q3FMKm+bd/Z43HQ4pUpAXqDrRnHcgBSbmICGA6yeSAALj1BMEgE3sMQ2JsOgcJBq+pgTXW+2HmFVwc5paj4yA4+OX7Z95otMRUPXEFGoCzmnfTMHsQQuKMSqZ45VMUgcHEQRqnDaAODvhKHTELS8dL+4kdhJAp1HO9cG/H/t+/t/ZXbtOlJ/3vTX/vvDXH3scALZ/75/n65rQneOJpKIELAfvCuBzKTh+VjNuRRAANrHH6gH8HMCFSNFrldviUak9XqflWs46OmU0XL6gsTDfE3c0tDoD/R8n4DqQZSHRiKCCcoqxMRnbZAzCOaECHRuh0FybIsV0wdjTkROFAB0CVLTqJYNt37r50NSyVXN3uycXhC05Dm3GbRdvDR5uK+k40B2zWdUqSdSTmXiWg4QAbpiIAgiMcxHs4QkkJh8vStUJ3Jvb3jJcUkGqagYdFk24oebIjENN7s5TG2QTwnXOSXZ5XRwwIkKMWs2aQZPk0xMApRTZ1y90IEqdMdtLx4s6+xYt7DTA24wqPkC3e6U7ImnBmMM7q6SvM4tnSmGYyqLWta/ZZTAayc8LVCTJtAK8K4CbknTMMce4F8GeIvofAMgHUJqKczh3+luEsN6h51jyUnH8Wy4+XBXXBL0zZD0t/EPBdJ6Fv0e9W4xT2RRBk+TDORUJYepI1wMNg+PPP9vju2vNporPrX628sF73y4Idikp+Q5ZRZ3aJV18s6kg2PeghERGa4dx2oQJLRiXAEBy207ycgWrpGoRVTJ0EnK7opVJMK0KwPkAvjmRBRDIwotnKtjEHusG8G0AS5CibjKudzreMHLkwmQv01cVBO0XzmquONjoHrC2iBKm8SwLhwKAHhEUAMQcr2SSbDiIMJr6wKf+cDBn99tt9i/dv6zx+79fcRQAfvn97QXJs/Bdyt1R2zsteV0x/eSyCGIlQd6in1b3J7msGgBowdhJWaBGXJMlh6ypmthltymjrYGeB2A6gLV1a9e9McpjjXkmzAVqE3tsK4DHkcgYTTruza31RGNxwyMntXj+wysOTm3usgfjmjhgf9CEJ5hdiTEAAA5o3WKEWplZOG+SVDgngkBHPkR3839OuC67vipQWObUHS6Jr/nETP+BHZ22tsZIUiMXlHDk2+KW/x4vOr3ptJVEiMocPMpOqmW2eB2a5LZFuvY1911HgkfanEzVJc+Mki7DoFFKuc3piI0k2Y8gUTbmAPCp8doLdLhMGBHs4X8BdCBRSJ9UCAfcm9v+q+daypPlDc4u73JNKQrm1p+SDHPSeQnXkUUVEv3RusSYGRI1SSa857M+0vmBkZBGujsVsXJ6Tp8nWVTu1C02gR87EkxqDV6JM2o9GnRGWiP2AW3lEonDb5zmgRYun3roxDM7Zwfr2hxqICrtf+S/i9yTC5rcVfkRgMAwaNibEy4fpjkyEm3Q2gB8tm7turbhv6LxyYS6QG1ij+kr6ZqvI5ExWg2gLpnHd29urQ8vym3T86zFUkd8WP0BB+LGCw5PaepyBA1GB9XVHk8wJTcz3V1R4W+/35pbf7DDxhhDUalHve6mhZ2TqnxDugvnGjGMGFWphYlMoXoqbDSZWDAmiAIx4uAju9WMRTQKAHandFJ40mYXjd7nkgNHoSNufXRfdeNgWxCZhHkXKyJlONr/8ZmfvHiPHlHkt+7565VcZ4J7SmHzgq9c81rv84ZBQy5nrBKJhL+h4EFiEsSzAB6qW7vO/C72Y0KJIABsYo/5V9I19wD4KYAgEp5hUiAcyHm+6b8d11feIPqVNsL4iEcczavodFcVhL2b9xecONN2lHAdHDQVvuBjv3knT43r5Evfe89xq1Vk//zLDt///uTVonvvv+YYGWIEVusSo5ZCzc0UmF88k1HDQUSBGuGR7m+zixwAouGTBS8W1QWbQ0paI26vVZV0Rtiudm9k0I0sJEbCRj6Pcyuxkr6kNyoKfP4Xr9wKYOtAu6mq6Hc4lGmJxKCzfg8nATgXiWnw/x72C5kATLRwKABgE3vsCBKF9BcCSOp0eMfe7ja5OXpQLbQNN1xxEjfWHJnS6LcHGSdnvOXt7RozmnMNhr89Is49tyzidFmYKAlYevHkUDAQF8LBoWfS6SExDsrNNmomo6YnFEpG0yrN4ZZZTq5FP3ow0Jcg13oiLCoxg0ya7E5a3WGZK2p9+XjRaSVNpyGRGPzGsLLKGaMKIVzwuKNnyz+YB2A2gLtMARycCSmCALCJPfYagN8BuARAUuvscv957GVuEzyGXRzR0N2FVR2e8vxIztG2wdcCe6HgBgc5s1KOkIsunxbYvaXREQrEqarqZPMLh12Tqnxxl8c69DtmDujdYlSw8lT2PDSZADDeEwodZau05ZeXhTY9XudpbYyI0bBG/u+R/b5p83yxglJHUqIVDkkT7JIuvtZYeNbvL2QShV8vHu45DIOGczyRskGeFgBcBEAC8Im6teuGGjadkEy4cOgp/BlAJYALAPw3WQeV2+JR1xvtm4JL8ldaG0I7CR/et/aGmiNTGjvtATYk54mDguvghIIkd65a9YyC+Dubjzq/eec/Kggl8ORY9Y9//oKW4R5H6xZjYk7cgSgdMx3/TbIPzvH/23vz+Div+t7/c855ltk3baPFsiVZ8prFCQhCwpoQEpawt4VSfNu0lNsWbgvltj96b8tt6aW9LdxbSktLMcVlC5hAQiEhcfbYie0sjhNvkW3Z1jpaZ1+e7ZzfH4/s2I5sbSPNSDrv10sv2aOZ5/lqNM/zOee7MsqcwkKP8+6PdaXyWYv+zX97qtm2Oem6Klb8nf9vW9kSRdoiOf9jffHxS8sipkUnBUzyNcIUGtFm32vXtmkm6C+2AXjxkh/VwM0AfQrAV3o//Vl5zc0AEfMMMK8U3k4/rAH4h6n/HizXcQUBhj+58b2ORwnoiULfbF/3mvVjkT989+FtTx2vHxCz9CBmnNBaCm7PN2NuOjgX+OvP/WJN5+b6wns/cu2kqjKx7/He4AP3HIn98V+9YyAc9c4p3ulrK9UIG5ybMkFGMncEQByu+LxKMVHNTbMDqsU216ZDX9i77cSsRBAA0rweDcpp0qgMzfY8lHI1EChtfe5Qxz8KcT5x7mq4CX9fBvBI76c/W71vVBWxat2h59jNd5kA/gxuR5myDeIlAqi9+8xu7mPR2bpFCQR+7cZTnf3j/sxsBRAAGHEMDlrWXX0+a9DUZEF5061dGa9PE4rKcNMtnVkhBE73jM254YCVVAqyjZpkvnBBFXd2YHXf19siOd9j/fGxWQsgAOikIJLOnHoPc04tIYgdjeTq4eY13Dr1ozt7P/3Zh6UAzp5VL4KAmzEK4E/hrqTK1vpMGy0VwntHHjAbfZ1cITMKQHfnWLQhUgz0j/kzMz33QhhxSgLl7R8aDHt4TZ3f2vPQiZBRsojjcOx9+GTQMGzatDY65wQCK8OKoILJBBnJfBCCMkbtYqXtuBJBzWIexVEePds4t7FqOsmTAo8Ka26LRMcheb/PuB7A7QB+AuC/9X76swsuzVptrHp36IW8nX74RgD/E8AvASw49nCOkY92vNFo9W/Wz+aOXk4BCAS+/Jv7uksms/vHA9nLHctxOH6w83Dr888M1Tm2oB2d0dSvf+K1CRaINWjUmpN4zsRQf0r92V2HYgNnJj2cCxKr9Vu3vHtT8trXtc7rvdEbzRDzcNUp0GXR/V9SHQgADlf8XrWYmG994FJwdV0ytHewfvLBMy0XdYjhDsexHz3eOvLCyTpucxptb0xt/djNp/XwBYk4aV6PRuUUaVBmFXMXIIwQfhWlQjl+Ys37ej/92cWYMbgqkCJ4CW+nH/4ogF+FK4TzrvO7EK5SOvy7Gz/INaLrw8Wz0z3nxo2J2O/eeuzqfS/XD14prfondx1teu7AcN0ffLb7eDCs29/65+fbTUsod/7J7Vyn5qIP9l0I1MNV79pSzE4pZVtgSFY+jqAqAYTOSlX7+Q5pprKhJhP4iz3XnTAcdtFNteeevU2Jgyfrrvuv7zmuBX32S99+sN2xbNb9hx84fv5JBRGGTvJkvXZspnPZnIYsU+nweIyehrpMmBDcvrN7h1xYzhPpDn01PwCwH27pRFneH2pxXv+DUz8XKvNZUe1VneMJBH7lDb2d/eOB9Ex1RfufGmx4661tQ43NQSMQ0JwPfXRL36meidDkWJZV+3KGl6glLOIQlcvYoGTWCEEZI3ZVD9Bti+R8u083jV0qgAAw9GxPQ+ubrxkKxGOG5vc4Gz5wY1+qdzicH0mej60LhRiiwCNXOocAYFrKWstS1kXC+Z/H6zO/JARpAIsxaHfVIEXwEqZGL/0fAMfhthoqSwxLnTCKNT/r+6kd87Q4XnZRgf4bNydqogHTOzDhu2InjFzOZJm0obV1RM53oWhqCRq6zpzhvkkuBK36ZtVWUskzmSAjmSVTisIUOv+pEYtNWDcVhQr6xEA8denPzHyJmZmCFlnXcP6aDTTWGExTnHTf6Pn7AFFhwBT+6WYMAgAX1FsytKsIEcWmhuS/R8KFcy0fkwA2l/lXWlVIEZyG3XyXDXf00hm4RadlEUL/sdRY6OnRB8wmf5dgryTKvK/7bHv/uD8902kKeYsBgM+vXuSm1T2KYxRKtgCtruG602CnlRKYoKByxJJkZtzZgcIEylsDW07WhXP+B880jVr81btAu1BiAKD49IuuWebRHLtovnK9EghQYiPPL1ogCwCmrTQZhrIx4C/tbW6cvFvT7AvDCRMAtpbz91ltyBvRZdjNd1kA/gLAMMo4fin68NDL3lOZg0ZrYJNgRNnckgw2RArBwckr7wIBwOdzxe+cGJ7DKNnM62UGL3OG6GIgOBFWUs0zrxyxJJkZLoiiVHFWaEQ3VEoE9g5M3x1G8briZxeMi65Np2QyxatdJIyEwUKenx+RZHMaKhna1QTgDXXp79TGsoemadk7Bnc2oGSeSBG8Arv5LgNuDWES7hTmslB3V+8e/UzupdLawObbX9O/bjTtzc2mLjAQ1JxQWDfPnEr5zz02PJjVDcNhrWuDOSGqXwQBwJpUClQTCogsl5DMBGHKAgboLjbrInnfA6ebp90FAoAW8DpayGemz46cv2ZziUndMW0Wbq2/OEHMFcEQF0Q1TLXTtpQ14VDhwebGiV1e72WT3tIAYtsP3Dmf+YISSBGckd18VwnA/we3ZOJ15TgmEUD9D0492ZwYPbKxI9vROxacdVf8172heeSRB083DQ9l9XzOZD/+wdHWjs5ourHRlxdl7oG6WAibcCvNCswr+4lKLo8jqEoINwFela7QmMdQhQCemqFHaNNrukbOPvZiUy4xqVv5Env5J3taI+2NaX9D9CJxFyoxLChNhqFepetWT3PTxI5oOH9iFgNbkihjo4/VhkxQmAW7+a782+mH/zuAr8AdS/LsQo9JBPD7rc9meRaJUTXcEHbyw4zzGUsy3vvhjUOFgqX83V/u3eo4grZ3RtO/8wfXn6SE25hqpL0ctlfWhJpX20s+R/YTlVwGIQhTmXXZmtnKIrAunPPd17tm1JkhvL3+PTcMWUVTOfB/797KbU4j7fH0Nb/5jpMXPsdRmMfyazFl0vDU16b/yeczXz2N/vJkAXQAODT330Mi6wTnwNvph8Nw+4wWscA+o6rGyT8/2POJwTNa31ERrxkLhNvDxXyCcT7v3pppO9yhEKdAyMxiWg141pSihAnCi6xsPU8lK4OpXqFer1IcqcZWaXF/QY95TfV/P31N70wieCUEJczyaDWCEBaYzB5Xjuaa/XdoO5UmOvMEilfYCGByZ/eOL87bkFWMdIfOgd18VxrAHwEIwm2xNm9u//XJNhCQbFLJrUmNn23Ipk6mvP5Gh86/Bygj3OCYuT1btWCNqzmqC5kgI3kVXDBNoXahGgWQEoF14bx/1/G2xHwFUACwdDVs+DzNWsEYqekf2+vNFEapQgrOEJ9r68YxAJvmZYhEiuBc2c13JQH8Idweo1vme5w33ZF8TXJMGTv3/+b0RH9jJtmT8vobbcrmJQyM2CWxjETQKTKLG9Smuiyel1yMmxW68LFJi0F7JOt/eTKUPT4ZmZd9jsI8RsDbTAARHZrYFxpLn6TOlPdGgeGMi1c11JiBJIDG7Qfu9MzHntWOFMF5sJvvGgfwaQBNmMcK7NqbsjW1cTs+OqiOXfh4U2ZyoDk9eTzt9cUtpsx5UgMljsFF9dcKXog1ruaoh8sEGcl5uKAKhbAJnKpz6/sUm9V6De0nPetG5vpazqhm+DwNtq5GgxOZo9HB8edUw8pf+BzCYIqimOswbg4gBaBtrjZJpAjOm9181yiA/wZXCK+dy2vf+bGJa9ITbELwVw+Ej2eTQ63JscNZ3VtX0PTwXI6rEqcoAKX6HEiXx84xQziEy1ZqknNwQRWFXiwO1UJnLON/pK9xbLLkmXXsnjOqGj693vTodd5s4WxN3+geb6Yw+uqrHwCDLUzhnYdpWQDr5/G6VY8UwQWwm+8aAvB7ADwAbpjNa2obTb3rmuJVI/3aZbvF1+UzoxtHB/Y5lCppr69ekFkkSQOgcGwC4WCZ1Auew5pQc8wrY4MSQIAQAFShTtUVyNf5ihoXBA+daZpVI29OqWr69HrTqzd4cqWB2v7RJwOT2X7Kr9D9hsKChfm4NVOQPUTnhRTBBbKb75qA6xpNw+01ekUBeu9vjW8q5mnWKF15nJDPMoqbE/0HAoYxmfQGmi3GZuUyVIiTdzC751YLVkopgoAQRbZSW+1wTjVGnWK1JcQQCLRHcv67e9YNX64w/hycUsX06XWmT2/Qc6XB2r7RJ4ITmbPn435XOg8jtrDnJYJjkD1E54W86ZSB3XxXDsB/B9AD4BYA04oQUwTpvjnz2rEhdVbxBCY475gYPtacmTiW9fjqi5o+Y1cIhdqFcg/YXQrMCUXGBiUQIMzNCq0u2iI539l0oPDSWOyyblpOqWJ69TrTp8e1vJGo6R99MjiROTMb8TsPhY35ieAEgNbtB+6UHpU5IkWwTOzmu0wAfwngCQDvAPAqv/6tvzrZyhShpCeUOQ2/bcimEhvGBg9YlHkyHl+dIJevh1dgF7kgy+5CsJNKgSiCysnzqxchKCNEOBTOvGtlFwMPc2iDv+T58ctt04YwBCXM9Oq1pk9v1IrGaE3/2J7QeLqX2fOo+WWwhTOvTkoOgByAtfN47apGimAZ2c13cQBfhTuT8DYAFyW23Hh7+ur0hDIxn2P7jVJ+y0jfPq9lZpLeYLPNpi+jUIhjEAACZFn9bQUnwk4qeeaVu8HViiOIqhC76hJi1scy/j0DDRMjBe9FTR0EIcz06jWGz9Oslszxmv6xPaGx9ElmO/Nu/kAYHDjQBZ+XOzgLKYJzZlndKJcDu/kusZvv+j5cMbwZQB0AhGtstaXDaB8burgsYi4wznnn+NDhpszky2mPLz599qgAI7zIxfyL7iuFOam6jbXlbnDVIQACEMZodQ3PjXkMVaWc3t/bMn7uMU6pZnr1OiPgaVZLZrJmYPzJ8GjqBLOdhU93J3CTZqx59QEuAmhYsA2rDCmCi8Ruvut+AF+AO4ap5ZYPTa4zSqRomXTBrp54Njm0YWxwPyeEJn2B5ktrChVi5Tmqf8DupQibcCup5BWf3A2uNjhnCiNOkaCa+jgKdESz/ntOrE2UHCYcVfEZfk/c9Op1WsFI1PSPPRkeTb3MLHvh4nfxaQnovDKDcgBaymrLKkCK4CKym+/aB+CzALZt2Fa4KZtks0qtng0Bo5Tfmug70JSZPJ7TPbUZj6/OIW5CjELs4nLqHHMh5riahyKY3A2uLgSIqrDqSohZG857E3mv8XSqkRoBbwtnzOtP5k7U9Y08ERpP9zKrDDu/6SFgmM/kjCykCM4ZKYKLzG6+6+h1b8p+rmmd2dbzorfsO5yGbCpx1fDZJ4NGcTzlDTQXND2sELsoBLlyHneVIhzCrUk1z3x8zh1zJMsT7k6PdyjmH0srN5rClfqgEdrZt5lSB2Z4JPl8bGB0ny+dT5Ar1fktFAECAk7ovNaAWQCNZbZoxbMsdwvLjS/d1dtcKpCnn3kk2GAUWEdN3OolZHbuDtsR5O+/d2rbgSOpDscRbP0a/9CffLxjf31UPz+CSOGO0zY50lOnpwf7InWbkj5/EwrCEQ5VCeFVc2OZLdaEkldjlp8wQYVDqnKWnKR8cEFVlZlzypheLBzKNJMyz8bacd/es3UDxoniC1Ezu2TjvgRAQDDfdnE5ADXbD9zJdnbvqLqWc9WK3AkuDbd6fOLkHb85/n1vgE+O9GtbbIvMalf49bvPbnnpZHbN//nUpvu//RfX3g0AX/zWiWmn3AeMUn7zSP+za9ITRx0PIQWPGuJkeWWJAm6mqDWu5piMDa54hNvdSCjUqVxCDAEspngLiidiE6Zt8k7kvSVjaO+B0AHFtJd23iUHPZ8cM3ccAAaAWBktWvEsuxvkcoMnuoIArgNwOhDm5nt/a/xnrZ3GsyP92tZCjs3YG3TPocnO299Qf3h9iz8XDarWJz+w9vkT/YWm3sGC/3KvqculR9sTI89rRW4VfFrE0BTvcnONmkklDwoqu8isbBzBVJWZuUrkw3DKmKFo/oLiiREBp8bMDqx1xvvagxn1rn0tL9qcLr1RNjSikoXERguQGaJzQt5gFp8b4LY0sgGAUuAt70s9031z5qepcWVtalxputwLk1lLzeRt/5a2wPkp051r/DlNpdaxM9nolU4aFPlJX4qb8ZFML+WC5/16rKQpvqnejNUPJzDHlayMDa5chCAUAFXI0vUJFYRQk6m+ouqJGFQJeBwzV19Mnaoz0gMexyisr8vX7e2pOdk34a9IvaKwhU405BZwiCKA+nLZsxqQIrj43Aqg/9IHt3QX+m77yOR3HZvoY4NapxCv/ltkcpYKACG/clEWmkejZr7oXLEEQoNlMDhFYhHaMJbtbxjNnlYdbub9WrSkq/7l4Ca1JtUCABCVL7s2cJKZcQTVFGrlFr1PKCGwmOIpKnqoqOhhhTulmJHtbyxOnoiY+TFVuAk5zdFSOGsopftfjPctrkFXwIZGvGQh8VEDUgTnRNXfCJczPNEVhjuB/ux0P4+3mun3/fb494NRe3j4rL7VMslFPQODfsUCgEzevig2VjK55veyGRNeAiSfsKD6AUA3baNuPDfUOJI5qZl2oeDTwkWPGuCkuvuMGiNqRu4GVx5TxfFUZYvXIcahTCspWrCg6DEiwCNmfqSpMNlTY2YTHscsXugS8Wm2Wh80Qj/Y13rYERVwg04hbOjEh4WIoKwVnCNSBBeXG3GBK3Q6vH5uv3v7xP3rryruHR3QNuez7LybMxbSrJBfyR89nTsf6D45kA+YFlc3rQvOWHMYJLkxR7CLepiqlmPXTuZHmofTJ31FM1PwaaGiVw06tDo7zNgZpSRs6sjp8ysLLpimUDtf7lggJ0w5F+dzCFUDVmkiXkyeqDPSAz7HyE5fjC/QXl+oe+x43YnBpLeytYoOVOIjC3GHZgA0l8uc1YC8sSwu7wAwo2uFUuCmd6ZfqI1bY/sfCt5hlog/WmcPAMBN18RO3PfU6JbXb40kaiKa+S8/OXvd+hbfUHuzb8YVtI8UswC4A6ayS2qwmMOdaKo4Hs6UJrIBPZIJemqJgNAsu8hsblVT4NAYUTOeFiPKjYV325FUHgEQIYiiMqssgsMJpTZlHpsynQjh+Gwj5XeMAZXbsyoPWhMrRZJ5Nb/7SMOrwhZLjXCERqNkIU01sgA6y2XPaoCIaupStILgia4ogB8B+Akw+7qf8WEl8NCPY3fYJvHVNlknuODi7797atuBo+frBIf/5OMd+y6sE7wSQzy+0YAW8qJ0xQtLECDn18OZkKeWE0JVm5uq6ZSqpY2Vt7UUBQXlxSvPYZRUP45gOiXc1Kgxb7cfp0yxKNM5qCIIqNc20j7bSOvcKs5lAefTbLUrnot/dXfn04m0p+KDfO1+fr3/w9o3WC2d7wKBAfgwgJt3du+oimu32pE7wcXjWriu0DkVrdY22rn3/87YDx/aFX1bok+7qrbR6vnT7eufB/D8fIwIktxoQdTPGCgnAgjmjHQgb6SLHs2fDejRvF+LMs4txeSG4jhmJXeHxoiW9bWVanmJWhBVNnFVMmsEgKld4Nx2O4TAJkx3KFUdUI2CW17HzHgcK6c7VnGWvScuPiQEOurz9Q8fqT9eDQIoLOigsGhsQSUSDgATbq3gvCbWrDakCC4e3XBFcM7oHuHc/uuTu/c/FBo+/rzvbcGwMxSK2bMaxHspfpJPcU4UTgijEDNPthaAr2jmfUUz7zDCcj49mA/oMcOj+BXbMTXTKVEx83HKDTeobWdYkXm55hTo0hYwS8oG50xlxCkRzDxodsrNqTuEqpxQRXOsgt8qTXocM38uo3MhtNYUo2NZPfPIsfqhhR6rHAhDBGiAjMyzZdqFFCBFcNZIEVwEeKKLAHg9gKfmewxKgRtuzRxubjOG994XftfIgLaxNm6dYoqY08VPIbiXFMdMaAEPjPRcXssc4YSzpVQoW0qZmqLn/Fq44NMjgBCKw03VdAwqFrGP4iUYo1rW11GsR4lY4LKd2nJkqlH2ZW/ODmWqTZjmUKpCAB5uZoN2ccLjWHk6zyF70xHwWHrUZ/m/8mDnU+LyM6qXFGEgwOrI6TIcysY0Q70l0yNFcHFoAaADmJPoTEdrpzER/+TY9x67N3LDYK9+XaTGPusPOZMzv/IVgiQ3Ms5rNoDMTQTPQeCWWOimPRpLFkaLHtVX8Gvhgk8LEy646nBTtZzSYgeYhU24Na5m1ZjttzOs4u4rydxwBFMJ4daFk+MFIdSmTJva7alMcNPjmBmvaeY0bpfm4+acCUIE2usKtb98qeH4eHZ2sfWlQJjCz5rZQBkO5UCK4KyRIrg4XAtgfKYnzRZNF86tv5Lc8/JB7+kDD4feVczTaKzBPk3p7HZhQZKfGEWdJkDIQhNdCABfySr4SlaBk3yi5NX8OZ8Wzvu0KOHCYZzbis1N5ixOhqk5qeaViO2jOldktujyQQDggmiaYqUspngdQhVO3LIc3bHyPrs07nHMvCKcRf+bttcVagcnvckne2qHF/tcs0UIUNjwqp1ssAyHkyI4B6QILg43AEiU+6AbthUHm9uNbz96T/StibPa1dF665TXz7MzvY7BcXRiJi2ofg3mQmqQLoIKCF/BzPkKZo4TEMOjeose1V/0qMGSVw0yW9iMc0uxHLNscUQBGAk97WkpxaQIVj8OoYxTwhxQDRpggWk6t/M+u5jSuV1UuL2kCVcNoVJQZZx956m1R6rFDQoAIi+iNEiGqI+U4zNtA/DM+CwJACmCZYcnuhiAbQDuX4zjB8LcfM/2iQcOPhk4deipwDuKeZ6K1Vsz1iIGSG4kJcLryimCF0IFhLdoFbxFqwBgzGGUFT2qr+RVAkWvGhCEUOZwS7G5pdjcXMiO1MlT08mxIvNz3cnLJJlqQQDghCqcEsYpIYIQRl3PgMVM0BhLn9JgVWxahE+z1aZIKfKNx9sP5AylqhZQooiwsoYeLtfhIHeCs0aKYPlpA2ABWNSLfdsbcydbO0vDj94TvW34rH5VTdw6qen8snGyIMmNT/DYRkGwJOtf5nAnkDeygbyRFQAsTdGKHsVf9KjBfGDKdeoIW7GdeblOjREt6+so1hFG5MzBCsEJoZwQximhgrhfisNN1XZKiuOYqsNNIgRMrgU0WhzVWOUEkFFOOhvyDQ8cbjh+esy/KAvBhSAMEVTa6bTtFeeBA8BXpmOteKQIlp/NABbS8WHW1MTt/Ac+MXb30w+Eru455HtLIOQkwjX2tHEODZahEDtvQ/WpKE+njtlCAGimbWqmbYYzpSQnIIauekuu6zRQ8qpBwsGp4A5xhKNwbjFb2FfaLQqbcHNMzWq1VsBOKzJJZhERAOGUUkEI5QTnBY+6MWBLN21D5dxkjmORS/5iXFAmQBSfUqxgur7A+vpC3clR/+jjx+uqohziQngBIaKSgrKOliuPwARw2VFrkouRIlh+rkMZk2JmglLgxtszL67dUOp/8ueRd430a5tqGq2TyjSlFCGSGUiL8NqlFsFLoQLCW7IK3pJViAJjggCmquimxjymynRDV3wlnQUBCOZwhwhhM0fYzOH2hSUZ1qRaUCOOj+hcFQZdcN3Yasd1ZxJ2TuQ4IUQQUIAQxrmtcG5qjmMpXNjM4RaZhUfbEorfy0pjlPCK7dabIkbI4eA/2Nd6rJrigOcQOVGnrKWHylAfeA4LUgRnjRTBMjJVH7gNwBNLfe6WdjP5oU+Off+Jn4Vf13fS89rpCuwjJJOY5LENnBBKsXT1fTNBxPkSjPPxPUEAW2GaoU2Jo6b4CrrmBwDKhUO5cJjD7cKIlvOvKUVsk9qyk8zMCLhlCQKECkKIoKAcU2JHCKGc24rDLWY7BuPCZpzblHNnPrdnRzANALxKcUk8I9MR9Fh6fcgIfe2hjn0li1XNZ/48AlQYIqxdxV4u41EtAIEyHm9FI0WwvMQBaHCb2C45qib4zR9KPX3qsKf3wCOhWxN92pZYvd2redxYoQLH9pHiiAk95EEpVQkbZwsRgGo5pmo5JvLu+ykAOApVDE3xmBrTTVXxFh1dJQUBJeQErYJiQ4BTCAEBQYTgRAhBheBk0YfWVQcChHBKqMA5t6X7GFw3JgHOLSK4wwS3qcmdhYrd9HYAtlB8fiU/vBi1frNBYZx21Bfq732+8fBQyluVLnOeFTU0SIZZAy1nnFLuBOeAFMHysgVV0KqoY2tpZO3G0nf3PRi+5uSL3jfqPp6M1Vv9hICHSWYwweuv8RCkKm3nXCEAFJvbim3m/IVXpm+LcTBxLV/PLbvg2FRMZScyh1LVYVSxCGEghBAhBAQ4gRBEAESAY+rfAIT7uHA3SxX6HS9kSjqIIIRMCRmZmsMHQTD1f0JcoXN3ckQITrngVAhbcRzz3K6ZCuHGXLlYkt/NEYqHEm7qzKjIghAQ6GzI1b/UHxrY31szWhkbZobnRL12jfJwmQ9rAoiU+ZgrFimC5WUTUB3ioigQN70z/cKm6/In9twXfsvQGf2aSI19NhjKTY6gjttQdAX2iigvIBYc9CNBW3g9G+fTdsURhMChlE1lM7pfhDDXLQgiCGGCUCIu2DG5KiQEAQQ572p1A2GXJoDMh1fUyD2feEXkyLnQFRFCEAHufhecAJwKzgmf2uW6Aue4wsedcti1UAQAmyvesJY5W6nFRGusGMmVVGPXMy0nKmTCjIgiAiAQ+nXsVJkPLXeCc0CKYHlZD2BOLc0Wm5q4nX/vb0384sgBX+vBJ4O35jOsLhDPDheIv06BPa8G39UIGaFp1POo8MND8q8uTyFCQHEcB7Oc6jHlRnTjZlMJIhd9nxKuWRzp8jYD4mKROy92gkDwahC0+WAL1adSK6fSypRERH2mN+Kz/P9vd+fTNq/clPiZ4GnRrK5n+4la9hIfC7JEYtZIESwv6wA8XmkjpmNLd6Fv/dXFf997X/g1p08W3mDEwxGvSsYrOS/QcTi+c/fh1mcODdXZtqCdbdHUb3/02tORkGfuhcwCQC8ZxmbehiIxwBcWiHK3ZIJXyTjFZYMAoQ5nnqCeLUf7rzmjKQ5bV1uou2v/moPz7QvKHU6eufepbcMnBjo4FyzaGBt63ftv2u8L+8vmOREGvMIRuv46pVwF8hdiQRbLzxpaaQNWCjzR5YebkVV1hbjn0D3CedsHUvtv/5Wxf9d5KZXJae22Vbn2Sj++73jT4ZfHop//1I2Hv/znNz8PAP+88/n18z0eyRGDjJNJEZaZcZXC4qrPw0qTCln4qKO5QiDQ1ZCv398b6z3UH5m3R+aFXz6zZezsyJo3f/zW+9/5qffdDQBP73r8xvJZCvCkaFU72P4ytUmTLAApguWjBcC8J2UvJU3rzNQb3zT6PSWipo08iRWzpE6Ipf8sPP3sYMMtb2wbao4HjYBfcz7yvi19J05PhodHc/p8j0n66BiIIPBCK6etkplxBFMFCPMpxSWrk30FgY76fO14Tsv97GDTgsYRDRzv62y/rvNwtDGW8wS81rXveM3zyeHJptRIsixxNp4XESEE1W9SXijH8aaBwO0fKpkFUgTLRwuqeBd4KZvaRge8fjFe28Ve8gTEeD5JWswiQkt1/lzeZOmsoXWsjeTPPdYcDxq6xpzTfan5xzNsCHKKDoqgCIDJz/dSIQBYXA0ElPxwJQrj18RKEYCQHY+3HeILyH8t5YqqWTD8NWvqzu8ko401OaYwa2JgLFoOW3lKtOrXKI9Sz6LtAhlmGfuWSBEsJ61wJzovCygB2psnn80bem19u+iJd/ID3CFKPkWaLJMsejwhX7QYAPh96kUXq0dXnGLJZgs5NkmTIhklEyIspFt0ibC46teoldWZseQLwbqgEQh7Ld+/Pb7uubypLOjmbxQNFQB0n25e+DjTFNMqmepCjg0APCUaiY9MaK9hi5m1SiF3grNGimD5WI8l6hlaLq7rHDpu2cxv2VTzhpBds9XZH2sWx6wiwoU0iTs2WTSXos/jil++YF0keCXDZl7Pwm5kAED66Dg44cIvR8osNlwwRYCqfjU3MvOzy0vIa3laosXozr1rnx/LehacuKJ7dQsAjIJx0WffMW1N9WgLinMKByrPirjnBuXhMrZImw4pgnNAimD5aMMyE8GAzzTjNdnD6ZynCQBACEL1YrT1ar4nVC9Ol7KoK2ZIPXfKn0UcDGhOOKibvX2p83GWwURWN0yHtbVGFr6j5hD0JB2EX/iEIj/ni4UAYHI16Ffyw4zwJXXBeVRH6ajP19/9bPOLp0YDZSnK9wS8lubT8xMDY7FzjyWHJwOO7ag1LXULur75mOhQWunz6nq22KVJUgTngLw5lAGe6FLgtkxbFokxF9K9qf+ZoqnGbIeed/UQChFtEgNrruZP+qNiqJAh8WKW1HKOBbkpL+WG1zSP7H7idNPQSFbPF0x2171HWzvbounG+kB5UtFzMMgQGUUYwbIcT/IqLKH6VWrll7ozjEI53RDPxR87Vtfz7JlYWRNxWja2nuh97sSWVGLSb+RL6qEHn70uEo8NRRqi+ZlfPT08LRrAYHpvUZ8up62XQYrgHJB1guWhEUAeyzAY3RDLZ5tqMi9OZn1r6iL5i7LqmAKnplWcDsfFwOQAacsnyRpFQ073iyQpQ0PID71z41ChYClf/Ie9Wx1H0PVt0fTvbb/+5EKPeyFkkE6KKA+JgPCSHKnK/pHLFS4o45xpYT3TN5Nzz3EEvvn1ntZ9e8brLJvTjZvCqd//ow2nozF9zjdrQgQ2NOYajg6Ghh483NA/T/Mvy7W3vfaIZZjaYzsffCfngkXjseE3/Mqb9873eMKCh2dEk/c29XtEJ0txj1CwyPNMVxJTrRIlC4Enut4A4FMAHq20LfNhLOUL/PSJLXc21mRfUhi/bNzDLMA7MUA6SllSr3qQ0X1i2hZl1YbwClVs5e0kRTKwlt9CpRpx3aB6xMcKI16lNOPn4DvfOtX09J6xus9/4arj4Yhm/8PfHWs3TYf95d9uOz7XM3c25OtTBbXwL4+0v+CI6u0IAwAQIPYw36K2swPeW9TnluisbQDEzu4dn1+i8y1rpDu0PLRgGWWGXkpdpJBrrsu8kMx611zpeZoPxcYucTjexQ8QAp5LkhazSKre1UiKxCIDJCHCCFbhOLllic1VHyNOyTMLAQSAJx8bbXjnHc1DLa1+IxhSne2/3dF3/GgmPDhQmFNNaGusGLU5cb71RNuLVS+AAJwx0UFDZNDzNmWpBBAAVCzj+9FSI0WwPDRjGdUITscNW/qeMUwlbNl0xoxQbxC55s38+fo2/gJ3oOaTpNkySFX3KiTDNI0CiiIoeyouFC4ocwTTg2puaDZrimzGYqmkqXVuCJ2Pqa1Z6zd0D3VOncjO+u/RECoFAx7b883H2w4WLVb1O3onKZpAwH3v0e5f5GzQS1GxzO9HS4mMCZaHENzxJcuWWKhYaKlPPz+a9K+vj+Zn1dXeH0XSH3H2Z8ZpfXKQdJpFEta8Iq3q1bkKpafIEL9adAgNJjGrK3HAcQR+8K2jsf1PDgVti5MNW2OF3/z9q8fDEb2qBsEKAJZQg361MMKIM6v3MJ9z6z79gYtLX7xexSkUZlcTGvZansaIEf7GY23PTOTm1xN0KeF5ERUFUeN7r/Yd6idL3UJO7gTngNwJlocAlrkIAsANW/qeMy0WtGw2excVIQjVidHWq/neWLM4bpvEn0+SZqtUhf07DeKQM2QYVegWvfeHPZEXnxv1/dmXbhj8+39721kA+NevvFBfabsuxeaql8ExPKyYmu1rfH5X/M6J4TmKRZv5fDPXhHo1W22vz9ftOtDy4plxf9XvcEQJAT4p1nneqN6jxGkl5ilqcBP1JLNAimB5CACo+tXpTESCpWJrPPVsMuu5YmxwOgiFW2N4lfNUzVpx2LGJVo0xQzJGsiSNrAhVl0jveWQg+I472tLx5oDtD6jiV//Lpsnjhye8I8P5qvHWcMEURzBPQJudG/QcobDqRKKaeeLl7Pma0IG+vG6UOOvoDF5xx6IyTjfE8/GHjtS/fLAvUvGB1TMhDPidMd6pdys/1zazoQqZwSB3grNGimB5CMIdX7LsuWFL//OmxQKmxebXaYUQBGvE+Jqtzv76NvECIEhukqwxCiQsRHXsv8hpmoACVi1NtvM5i6QmDaWtM3J+IdXYHLA9HibO9maqwkYBQkyuBoNabnA+EyLe+Jb6kfv+c6BpoD+v57IW27njVOuGTaF0c4vvsotHRjnZ2JhtPHg20vfw0YaKjGaaC8KA1xnlXfr1yv369UpvBU1RUWVzTauZqlllLnN8WAE7QQAI+Q1jXWPqwOBYcEtDLD///oaEwB8VSX8UzxXSIpQapufrDDWfSFNawVIFC5z2kH6+ia+DTdKkwmUThbxFAcDnVy+K/3l8ilMsWBVfqJ7rCuNhRlKn8+sN+tHt7UP5vK38j88d3Grbgm7YFEp/5k83X7YmlBJBNjXmGl8eDg7/+JnmstaOLgbChNcZ5Ru1a5UH9G6l0tPsvQBGK2zDskGKYHnwYwXEBM9xw5a+g3c9fPVrDZN5dc1ZcIG5L4yML8wPGXl4UwmytpAizUxFUfOKFFMqtIPOkhLppwnRzBswQZILL/2fP16fIoBXxPAcpYLNvD614okxNle9lAjbr+bnfWNljOCTn9rQ98lPbeib6bmECGxszMbPjPvGv/d068tV4kC4LKKIoDPO12tXs4c8NygvV9oeuOEZKYKzpOKrzOUOT3QRAB6sEHco4PYUXd8ysXcy42sr53F1P4oNHeL4mqv4E76ISJSypL6QJvFKDfYlwyRF0iQjIqKicctAUOORmG6fOZk+n5CUGMwppZJD1raHKrq44oKpjqCekJodKEOToBkhENgQz8UTaW9q5561R6tdAHlW1DoTvF2/QbnXc6N6tNL2wI0HKpDu0FkjRXDh+OD26av6wt25cNPVZ15QVSefynni5T62osGqbRW9rdfwJ0L1otcskEg+RZrMIkJLHTckvTQBToQIiEUfH3UlbnpbS/aBn/WGE0N5pZC3yA93Ho9t3BorNjT6K1bKIUCoydVAUM0PzrYcYqFn7Izn61MFNb/jiXUvVXsxPE+KJp4Vce8t6o/0a5WzlbZniiCAsZ3dO6r6vasmpDt04Xixglyh51CYEDddffaXu59Z/+sBrzlxpXZq84Uy8GiTGIzExWA+iZrMGFmTT5I1rqsUaaaIxX9fHQjSQ/rFVtEuTNjErMyO/r2/2pUq5Cz6xT95qtmxOenaEiv+7me2Vcyl5cYBtaBHKU0szYxAgY66Qm3BYMY3Hmt/wXKqWAAFqDMm2iBAfe/Rvqc00mpqnB8CMFxpI5YTUgQXjg8ryBV6IW2NyfHWhtQzwxPBzfFYbtFiHYQCgRpMBGrEhFUSemaUNOYmSasQhKiayKteZMrRsPuy5y8SC710QHTwFkyQNBwseRyOMYKPfWLr5Mc+sbUq3FgW1wIKtYt+JV/WCQ3TI9BeV6hxBOH/+mj7wZLFKh4HvRzCgNcZ510sRk95b1MfpkFSbQvgIICyNxVfyUh36MLxY4WKIAC8dVvvfgKIbF6vXYrzqR4YNa3iTOs1/InaVn6YMFj5JFlTzJI628ac+kzOBTJB8mSETIqIHLtkC8UDgATV3ODi+6YF2moLNQLA1x9pX/Bk+MWEp0WDM8Y3alvYI74PqvdXoQACblKMFME5IEVw4XiwDEcozRZdc5zXb+m/P533rHE4Kes8wStBiLs7bNooDrVs4Xv8UTFk5kk0nyJNZgGLUnNI+ugYSjBEGP6Zn70y4YIpNle8ITXbT8EX3SW5rrYQIwT4+sMdz2VLalW1sjuH4GDOiOgSBgLe29TveW5Sjy5xL9C5oENmhs4JKYILx8AKfx83rh0baohlj0ykfesqcX7VA6NmjTjTeg1/snYtf4kw8sru0Crj7lAApIcOQoEivIu366xWphJhgkE1N6hQe9F3OWtrClFGQb/+SMdzmZJald4UUUTQGeJX0Rjp8/+a9l11Hav2rjUeSBGcEyv65r1EFOB2aFjRvO263icdh3ryRTVSKRsIAQIxTDZt5IdatvInA1ExaBbc3aGRJ5FyTL4nFhzaQ/oRFD6oCz/eckGAEMPRw16lOLYUiTBrawpRTeHK1x9pfzZdrD4BFDY0Z0R0OpN8nbZN+aX//dpu6iNVuVO9hACAkUobsZyQiTELZ1WIYMBnmts2DD3w7LHmd3s99ouUiIomL6g6zNgacTbaIs7mk4jlJki8kCaNhMBRVBRVr8jOuytNlpRIP0mIFhEn45UtpF8KBAhMroU9rDTpVwqLnpjTGitEdIWr//RIxzOpglZVAigEKJ8Ua0RBxJS19FnPG7VnqzT2Nx0MbvPsqkiuWi5IEVw4RawCEQSAbZ3Dp3sHY72TGe+a2nChKuqizu0OAzExyR1xvJBCNDdJGhYqiGSYphHgPhERQZIklZgEsCRMlUKENWpm/Gp+bLHPtq62ENMUofzzw+3PJPNaVYkLT4lGnhWNrI72eG5T72UNFZkAsRCCAMZ3du+o2uzaakS6QxdOEaiORsxLwVuv633UMJVwvqSGK23LpVAGHqjBRLxTHF17DX+8tpUfUXSRL6RJYz5FGufqMiW9NAGHcBFamYN4pwQwpBI7H1DzicVN9RBYX5+vJQTkaw91HJjM61UjgDwvovYgv1oIUO/N6l3+D2n3L0MBBIA6AMcqbcRyQ+4EFwiN99g80WXBfS+XQ8xgQcRCxcLrtvT/577Dre/TlNxRVXGqsnH4OUEM1IiJC3aIc3OZOhD0OOnjW3kb/MSDPEpL+CssKgKAxbUgI9wIatmhxWyJRohAV0OuIWeopW882nawWsoghAGfM8nXEkK4fr3yS+06dqqKsz5nQx2AeyptxHJDimB5OLcbXPEiCABXtY/0TaR9T54cqHlDY032MKWVjQ/OxCWCeGw6QVR0kZ+2mbdJHHqc9vEtYh0ccFJa/t2BXAFUAxTcDquZRe0JSokgGxtzDaMZPfvNx9teNB1a8c8Kz4uoyKFO2MKrdrE9nhuVl4hGqkKYF0gEcic4Z6QIloc8XBFcNYMs33Tt6YPJrLd+LOVf3xDL9VTantlyGUFsKOVInRCgjMFgKkqqR+QJmeocUyAm6UG/2MBbhUM4sZb3YscSqh8EIqRl+wjEoimgQjnd1JSL9475xr+zd+1Rm1euFZpwoPK0iIuCiBGdZNUuul/bpvTQwLJJepkJBW7jjkrOMVyWELF418CqgSe6dgA4jVVWn2OYjO169KpfBRGoCRWXd5cKIWDkib+QIdFimtQZBcQIhcUUmExDQdFECbXCL9p5MyZJmthL31qtHFhc9QoQFtbSZxnhi7b70RSHbWrMNb7YHx740YGWE5WaBsELCImsaBCmCLJ6elzbyg4pnTSxzN2e09EMoHZn947fr7Qhyw25EywPOaySDNEL0TXHecfren72sz2bPpYtaDVBn1nthcSXhxDoAeT1gMhHm8QAd0CLWYSKGRIrpkldKUvqWZoYCkeetfMIJkmS8OVVPGELxcNB1IiWObOYAuhVHXVDYy6+72Ss9z9faDyz1AIoOBhPiwZRELVEISWlgz6rb1OO0zCpyvh1mYgDOFBpI5YjUgTLwzl36KqjLlLIvfGaM/c8frD9VzTFKZRjCG81QBm4P4KUPyJSgOh1LCiFNKKFcVJjKbSN1osGMYY8ZcSiKkxS4brJmbC54nXAtLCWObOYY5ECHkvvbMjXP3S4/vjDxxqGFus8lyI4mMiLqCggKkwRpLX0pH6dskfdRAdX4K5vOiIAjlTaiOWIFMHyMAqgo9JGVIquNROJibRv9+Hehlsaa7MvMSpWQpLBRTAVdrAWY8FaMSaA42kd11mtImYPwzHzJAxBQBkcQuEQBRZlsAipfKxhKgnGDxAa1tJnFOIsWnF6xGd62uoK9fc+3/TSvlM1ix4aECX4eV7EhCkCsOGjQTKotNPntWvYyyxGV8RibA7UADheaSOWI1IEy8NJANsqbUQluWFr/7HJjK9+ZDKwMV6TPUpW8OKbAAgn8UI6juuVtYKpJQw6FlTHgMc24LEN4jOLCIAQQSlswuAQBospYkm7o5wrgyAQdkhL9y2mC7Q2YPhbYqXYXfvWHDzUH1mUjiXCgSLyIiZKCAlDBIlKirSenFBa2Wm1iw0uk7Zmi0EUbpF8qtKGLEekCJaHM3B79q1qbu0+8eSPH9taN5byr6+L5E+uaCEUhIdGcTAdF922LsIKIWmmwdKCyAICEIBjQbMN6I4Br10ifqNIgiDglMEmFA5lsOkiCaMAISbXQgqxCyG3DnDRdqXxcClYHzJC396z9tmeRLBsA2aFABUlBERBRIUhAnCg0zDpUzroc+p6dlZppulynWuZ0wjghUobsVyRIlgeTsP1ya9qVIXz99507N5792x632gy0FUfzfWsZCGkDrFDo3g+HRevc7hwmE1eaTxNAKbBZBpMTAmjEAKOSXTbgMcxiNcuwWcWSZAQcErhgEAQCoe4blV7vvWXHJSajhb2sFLSrxZGF68OUKAlVoqEvZbvG4+1PdM34c/P+0gmvKIk/MKEHw50YQsvHKjESyZZHelV1rLTahcbJvqKqOcrNzEAD1TaiOWKLJEoEzzR9WMA+wGs+tVpyVSUe5/c9J5CSa1tiOVeXsyp8NWApYtgtl68RjEwTh0yp64yQgjimETlFjRuQ3UsojsmdG5D4xyMEHBCwAkFJ3Qq5kjhUDZ93JULphhcDfmV4ohPKSTL8xu+GkIE1tfn67kgfMcT6w6OZjyz+r2FDVUYIiAM+GHDI2yhw4YPKnI0QEZplCZYDRlnDWSCNdI0UUlVJxxVCXcA+NTO7h2nK23IckTuBMvHSbjB6VUvgh7Ntt//piM/+9meze9MTAY3NsRyLy/F1Anb5uQrXz207ZlnRztsm7POjvDQH39m2/76Ou+ipsarBsn6J3AoVyOuVQ0xSp2ZU/Edh2PHl4+07ntsuM62ON1wVSz1e3929elonee8cAkhCLeI4kwJJLegOSbx2CV4OCcKIRCEwCEEAgSCU8ocouo+kRtXHMuyLOIlDM5Uwg4vV6KOxjjrasw1DCc9qW/vWXe4aDFH2FDhQBEOVDhCEzY0ONDAoYBDEVwocKCDgBMfGaNhkmA1ZJTW0QmlmU6uoKL1paYGbseqMxW2Y9kid4Jlgie6Pg7gJgDPVtqWasGyKf3PvRvfkcx618ZjuWOL3V7tn/7lpa37Dox0fOF/vPbhWMxjfOlvn7vBtLjy//7+pkcW87znMPyiJhcT16gGZhTC7/7zsaZ9jw7X/enfvfZ4OKrbX/1fL7SbpsP+19dumF2GnwC4DcWxoAkHzLCVgG0zf0jN9lPbdhwbGreJxm2iOjZUYU/VsZ7fVQqHEHLpxX9Z5/W5+0TQZykbW/PBpw9Hk/c91ZCBIAo4GBgMopASVBSJjjzxkCz1kzTxoUD8JE9DJE/DpECjpLBKShaWim4AT+/s3rGj0oYsV+ROsHycBnBbpY2oJlSF8/e+8dgvf/HUxpsTk4HNDbHcscUsn9j7dKLz3bevfbGjPZwDgE/89pbn//CP97zv9OmMv60tNO941WzR82QCwKFcjbhGLYmxK7lG9zw41PDuj7QNtKwLGgDw8U9t6vvc9ievHerL6U2tgZl3rgSgKmyiwCkW1BqiEqe9PfmYx2NdtjSAO4TaJlTHIopjEpXbU9c/gSAXHBcXJNFc6Mqu85aiDX6j/v4zTbsf9zWc8t1BDBogJRKAIYWtYjQBeLTSRixnpAiWjzMAQpU2otpgVIh333jsofuf3mANTwS3xmPZo4yJsqeyJ1OGmsmY/s2bYufT89d3hHOaRq1jLyejSyGCwOyEMJs2WWrS0Do3R8/btKYtaOge5pw6nvbNSgQB2BbVC0Wtzuc1xxqb0scVhV/xfaVMcM0LA14xR/ewQKNabPVSx/OjZNvOQ+Ga0eobpLUqaQCQhLsAl8wTOU+wfAwB0CEXFq+CEuD2G15+vKU+fTAxGdxi2bTs3XUyGVMFgFBQvSi25PEoZr5gLWlLOz1PJgIT5JDlQR1nwnPpz/NZiwFAIKRetCv2+hSnkLNnNe+wWFCjhaJWV1+fPdLSmjw8kwDOFwpO12n5DQKEf21s83cOlRa/CF4ya9oB3Leze4eMaS0AKYJlgsZ7HLi7wdoKm1KVUALc2n3iqfamyadHJoNbcgUtVs7jB4OqBQCZrHWRwJZKtub3qUtapA5MCeH49ELoC7jil8tYFwlesWAzX+DKs/YchyjZjN5EqbDb2iaeikYLo4vliNSJo7frua0jtrfvK6NbfzRs+1bNlJRlAIFbH/hYhe1Y9kgRLC/Pwe3mLpkGSoC3Xd/73E1Xn7k7W9Abx1O+daJM3ZVjUY8VCmn5Y8cnz4vrqd50wDS5umlDdNFKBa6EXpheCEMRzYnEdPPksZT/3GMDZ7K6UXJYx8bwZYXGKCmhfE5vjMYKvWvbJp7XNHvRsl6D1Ayt1fKbDxZrnvqn8U0PFkV1DMKVnKcJwODO7h2DlTZkuSNFsLzsheunl1yBTevGBj/w5iM7ddXJDU8Et1g208tx3BtviJ+4/4G+Lb29aX86bajf2HH0uo720NBSxQOn43JCeNOtTSP37zrTNHg2p+cyJvuPrx1r3XBVND1dPJBzwnJZPe44RG1dO7m/ri7Xf+nKwbY4+cs/evm626/d9+G3b33q1/7g115808iQMa/3tVYpNcTVUtsvMmvu/VGq/WClxiBJrsg6APdV2oiVgCyRKCM80cUA3APXRZGtqDHLAC6Axw+2X39ioOamiL/UF/Qb4ws5nm1z8pV/eMGtE3QEW98RHv7cZ7btW+w6wdlg+ETMrSPEGHVI6dV1gtH07/3ZNb3RGs9FsT3TZP5SUY2Fw6Wz9Q2Z05crM/nyn5/auvehiY6/+bfND9c2aMaf/8HxG0yDK9/46bWzLg8hEKRZK6xjEOp3k+t/0mOEK7KDlswIBfBBAB/d2b1jrNLGLHekCJYZnuj6HIC1AF6stC3LhZ7+mvjeF9e+h1Jh1YQLZ1biFArg1UJ4pefaFtVLJTUGIpzGxsyRQMBIXen5d3Tvf//7f6Pxxd/8VOspAHj5cC7wifcfet+On1370/WbZm5nphNHb9YK69OONvbNia6fTzqeii8cJJdlLYCIHKBbHqQ7tPw8AXfApWSWdK2ZSHzorYf/IxosDQyNh65J5/X6Stu0GOgFMhmYIC9Y+vRZowDg2ETLZfV4saTGYjX5k+vXjz81kwBOjptqOmn7r7oudL48ZMPWQE73UOvIwUx0JrtizKhZp+e2HClGn/3y6NafSAGsetoA3F9pI1YKMp2//ByEWy+oA5A3k1kS9JnGHTcde6inr+bwvqOt7xge12pj4cJpXV0ZQ3rPoRfIJAEO5mrEtcwSKWa5TbcdhyilohrjnKrRWP5UTU1+cLYddtJJWwWAcFS5uDzES81c1rlseQiFoE1qoU0lQv1hsv2HzxVrEwv53SRLQnjqSxbIlwkpgmWGxntMnujaB3e1JodczpGu1olEW1PyO3tfWnvNif6am3TVyUSCxQFV4Sumt6RWIMmgg2eydeI6LqBZaZXaNvNEIsWzNXW5swqb29y/UESxACCdtDUA512fpSLXAkE2bXmIj9q+ZrXQmbC9p7892bk75egr5v1d4VwN4Ac7u3dULNlrpSHdoYvDowBaKm3EckVVOH/LttMHP/TWw9+sjeR7E5PBrWMpf5vt0CUtel9MaJEWnR7/cMlU6tSYSdrXj+9tiGd65yqAAFBTp1nhqJI//HzmfHlIz5FcwChxdcu20CXJLQJ1Sineoha6nsrXP/IPY1t+IQVw2RCE2zD7ngrbsaKQO8HF4SkAfwz3QyuzROdJNFgqvvOGnifHU77n9x1Z0z08EbpK1+xUyF9KLFc3aa6oRfNFrda0WbAhmjt6Xd3AvUeU0FvSQm2PgfdQzK/J+Jtvqz3xs7tGttx4cyxR26Cb//jF09d1bfEPXZgUw8DZGq2w3hbE3DHZ9V2Z/bnsuAbAXTu7d+RmfKZk1sjs0EWCJ7p+F8BrARyotC2zpWRw8s6PDn1g/3OlNziOUDva1KN3/Wvjd6/apFfFRTcy6Q8e7Gm6ZmAsfA2lwgp4zdGA15io9sG9hsW82YJeXzKUmK45qXWNyReubk+ciARLRQCwBaFP5hpuSTp6Z0wxjiuYu+vXtjj568+d2Pb0Y8kOx+asa0tg+M//74Z9DU26AQBBaoUa1WJHrxl46T8mO59YScXvB7687zV9j515a2my1MIdrn1832/913M/2/c3e1/fv6f/zUaqFCeEcG+d7+y2373u7rZ3dCy3IvMggJsB/OrO7h1yYV1GpAguEjzR1Qzg3wH8FMCyuOG89+NDt+85UHzD978e/4f1bVr+jo8PbjdNaCf2rftqpW27EMNk7IWTjetP9Ne+pugKS9rvMSd8HitTadvOYdlUyxW1mpKhxrggrKk28+KmdWPH2hqT09ZCCgHsL9R1D1q+10eZ+bJGnDK1KBNoVItr/NSOPphtvu/RXNOKa7Z8aMfBzUay5LcNRz35nz2/caEIPvnnj70l3BYZWf/urlNMZ/yJP3v03aMvjr7hg/d8+M88Ue+St9NbAG8A8MTO7h3fqrQhKw0pgosIT3T9PQAB4ESlbZkNkc6TX/rQe4I//+ZXGvYCwC8fyde969eHvvjgj5o/f/MbfROVtm86zgxHak4M1K4fGg9uNi0lqKl2xqdbSa/HSi9lvaEQIIWSFi4aSsS0WYBzokZDxd6O5skjW9tGzqoKn5Wb88VidOMJI3RriFmnvcROLcQmjThai1rozHF18j+S6+8btPxVsaNfLI5896Wu5772zB9dKIKXUhgraD9+913/+IY/f+MX17+rs38p7VsAAQC3wt0Frvqh3eVGxgQXl10APo9lIIKnzljebE7E3nyD9+y5x257m39MU1F8ZE+huVpFcF1jamJdY2oCwP6B0VCkp7+2Y3gi2JUc87Yxxg2F8aKu2lmPZmc11SmWw3UqBGCYir9kKUHLYj7boV7LoV6fxxqL12R71jakzrY3T44obO4rzKu9yeN+aucOFWPvcyjRAtSa19SGGDNqapXS2pdKsafvSrY/Y4PK1S6A47uObiSMmPHrG5fTNIyrANwtBXBxkCK4uBwAMAp35ElvhW25IoPDtgcA4vXsooQTXSfFdJp7K2PV3Gipz6Ra6jPPAXjOsik9k4jWDY0FG0dTgdZk1rvWtFmQUWEwyk1KhUWJcAgVDiXCpu53BwCEIEQIwoQA5YIwzonCBVEcTlWHE41zoumqkw75jeGmmsyJumh+rLU+PRbwmWXJsuzQswN+an9/X6Hug45D9DAzZ71jUYmjNqnFdgDix+m2Hz1TqBsuh00rgf4n+uqP3XXk4223duwKxGc3s7EK8MGdFrGr0oasVKQILiI03iN4ouvfAPxPVLkINjawEgAkRp2LBM8whDccpssuE1NVOO9smRjpbJkYAfAC4MYSRyYD4WTOG8zk9bBhKR7TYrplM4/lUN22qU4IBKXCZtQpMSpsxrjl1a1cwGPmgn4jGw2UcrFQIadrzqK6WuNqcfItgeHv7ck1fGDC0TtjzDxFrpg5KlCnGA1RZjQfMyLP/jDZvm8lJb8slDMPn2586q+e/MOm17c8eNMX3vREpe2ZA9sA/HRn945UpQ1ZqUgRXHyeATAIoAPAqQrbclk627ViMEAmn9hXbP2ND4cGAOCBR/O1pgXv227yLbdMumnRNcdpjacnW5GenPnZlSfCrMItwaG79uQbbh2zPVsjzDyhkVeXhniI7W3Siu0lzrLfSXZ+73ApuqBG5CuNk//Z07r/757+9Jo3r/3Fm/7qLcup00oz3Hjg9yptyEpGFssvMjTeIwB8E8AWVPn7/eYbfE/85Be523Y/nq853Wd5PvuF8Q+0r1WOVGs8cDXgody+OTB8X5uWfTzpaBtzXD3fV5VAkEa1uKZVK2x8oRDb96WRa76/GgXQMR1SSpUUx3QUACilSkopVVIEFzj2wyMd+/72qT9ad0vbvctMABUA3QD+VtYFLi4yO3QJ4IkuAuBv4K7qDlXYnMtSMji5/SNDHzzwfOkGxxFq+zr16A+/UT11gqudQdNX+2yx5g4C8DVqfqxRLaxLOnriR6m23WfMYNWUhyw1T39p7w0n7nn5v1z6+Nv/8bbPP/XXT27PJ/JdhJGL4rXXf+q1X938ka0nl8zIuXMDgJd3du/4m0obstKRIrhE8ERXE4BvAXgQgBQVybwocuodMAO/ISDWPFOou+fhXNNzcujtiiMONxb4cVkYv/hUtXtuJUHjPUMAvgu3i4xEMh9avJTftl7P/OS7yfWffCjX3CpAuiptlKSsMACvA/B/pAAuDXInuITwRJcG4NsATgM4e+VnSyTn0eHGhzwA/pbGe54FgO0H7lwH4K+mnvM0AHvaV0uWE68D0Luze8dfV9qQ1YLcCS4hNN5jAvgSgOvh1v9IJFeCwk2oejdckfv4OQEEgJ3dO84A+ASAIwDeCWDGAbqSqmYtgAiAr1XYjlWF3AlWAJ7o+jiAO+DGByWS6WiD2ynkOIB/pvGey9aZbj9wJwFwC4DPwBXEniWxUFJOwnAbZP/hzu4dcg7pEiJFsALwRBcD8H/h+v+rNltUUhHqAVwHdwTXVwE8P1VmMyNT7tG/hJtevx/AsmtysEpRALwLwD/t7N5xX6WNWW1Id2gFoPEeB24spxVuJphEEgTwZriu8n8F8Fs03vPcbAUQOO8e/R24Q53fCaBzEeyUlJ83AngEwP2VNmQ1IneCFYQnuq4H8NcAHgYgm+OuTjS46fBNcDuD/JjGe0oLPej2A3d2AfhTuLWp+yDLcqqV1wEoAfijnd07ytJ7VjI3pAhWGJ7ouh3ApwD8Eu7FIFkdnEt66QLwAIBv03hPWdu5bT9wpwLgVwB8HMDLcOOFkurhWgBeAJ+W5RCVQ4pgFcATXXcCeA/cm6Fserzy6YCb9PIigK/TeM+ilstsP3BnK4A/gbvbPABAtsGrPJvgTof4vZ3dO5ZFL9uVihTBKmCqrdrnAVwDNzYwqwGskmVHE9zV/ziAr9F4zwtLdeKpDNJ3APh9AGMAngcg3W+VoRPAergCKEddVRgpglUCT3QpAP4cwEZIIVxptMFd+RcA7ADwKI33VOTvu/3AnWEAvw3g7QBewjIY+LzC2AKgBcBndnbvkA0zqgApglXElBD+T7gXyiOQHUCWMxRuvK8LwBCAnQCerpT4Xcr2A3duAvDHcIuzn4V0kS4F18NNVPrMzu4dI5U2RuIiRbDKmBLCz8LNGnsUwHKZgC1xUQBshuvuOgzgOwBenEupw1Kx/cCdDG592m/BrSk8BEDGp8oPgTsVwgTw3+WA3OpCimAVMhUj/G0A7wfwOIBkZS2SzAIv3B38WgB7APyAxnuqeVTPebYfuNMDVwy3wy3SPwQgVUmbVhBeuHWApwF8YWf3jnyF7ZFcghTBKoYnut4G4HMAXoB7EUmqjyCArXCTXu4DsGtqYsiyY/uBO71w2/l9DEAG7udO1q/OnwYANwL4EYCdO7t3yMzvKkSKYJXDE11dAP433IzCgwDkH6w6qIErflEAPwZwT7nr/CrF9gN3+gC8F64YTsIVQ1nHNje2wC2F+aud3Tv2V9oYyeWRIrgM4ImuGID/AaAdwF7I1XmlUOHG+tbCjfN8H8B9NN6zIl1c2w/cGYDrkv8I3LKKQ5CdZ2YiCDf+NwngL2QJRPUjRXCZMBUnfA+A/wo3rf1wZS1aVTTBXdU3wC02/zmAZ2m8Z1Vk724/cGcQwAfhdp8ZgzvZQmaTXgyBu/vrBPDvAH6ys3vHqvh8LHekCC4zeKKrGW5hfRzuDVkmzSwOAQAb4NZ0jQO4B259X6qCNlWUqRrDOwC8D24JyFkAJyGL7usAvBbAGQB/t7N7x2BlzZHMBSmCy5CpUUzvgZtBei5WKMfmLBwG1+W8Du7Q4wfgdvY/WY0lDpVi+4E7KdxxT+8G8AYAI3C9E4lK2lUBgnDfBx+AfwHw4M7uHfJzssyQIriM4YmuINzkhffBXZEfhuw9Oh/q4bqxGuH28/wZgH003rPadzgzsv3AnREAbwPwAbiF931wm3Wv5EVZEMDVcHeA3wdw987uHSv5913RSBFcAUy5SD+JV1wyRyCL7K8EgRvfOzfPMQfX3fkwjfeMVdCuZctUb9JNcOsNb4brpu+FK4or5SbTArcDUBDA3QB2yekPyx8pgisInuhaBzd54RYA/XDFUGbzuSgA1sC9kdXDbWX2KNwJ7D3S3Vk+pkos3gTXQ9EB12U/BmAAy68I3wM3I7gNbsbnXQAe3dm9Q449WyFIEVyB8ERXLVz31Pvh1nedgVtsv9pcpTG4u72aqX+/COAxAPtpvGe0gnatGrYfuDMKdzpKN4DXw+2gMg43fjiA6nSbeuHGhpsAhOCWJd0D4CUZ81t5SBFcwfBElwduzdK74MYwhuGKYQIrc0qFF+5OLw43XpOB28LsGbj9O1dkPd9yYcplem6c1OsBvAZuZukk3J35MCqTaarBjQc3wG1+4IP7uXkUwHM7u3fI0MIKRorgKmFqd/g2uCN02uC6p8bguk2XY/G9D67Q1cKN0UTgxvqeBfA0gIM03iMLlauYqQbe6wFsg5tlugnu4iwHd4dYgvvZTMNd0BQWeEoCd2cXgSt2gan/+wAchbtYOgzg2M7uHTIpapUgRXAVwhNdYbir8dfBvfmocF1UQ3CFsdriiCG4Yneh4FlwsxCPwE3PPwVgWMb2li9TO8Uo3F1ZHO6usRVuLLcZrlhl4YqhBTfh5sK/94X/p3DjwCoAferLA7fI/wzcz8tZuMk7p2Rh++pFiuAqZ6oTzVq4q/Eb4SYyhOHebPJwV+RZuKvx1NRj5YTAvTn5LvnywF2pR6bOfxyu4J2EewObkIK3uth+4E4/XJdlI9zPKIErdhd+nXvMgLt7zMD9/GQATModnuRSpAhKXsVULLHpgq+1cAvIW+DuxDJwxZDjldjidN8v/CJwV+MXrsy9U9+zcONCE3glk3Ac7kr9FI33LEd3rUQiWQZIEZTMCZ7o8sFdiTfCFTAG1+003XcVr7ikOFyRS8LdUZ77nqbxntWWtSqRSKoEKYISiUQiWbXQShsgkUgkEkmlkCIokUgkklWLFEGJRCKRrFqkCEokEolk1SJFUCKRSCSrFimCEolEIlm1SBGUSCQSyapFiqBEIpFIVi1SBCUSiUSyapEiKJFIJJJVixRBiUQikaxapAhKJBKJZNUiRVAikUgkqxYpghKJRCJZtUgRlEgkEsmqRYqgRCKRSFYtUgQlEolEsmqRIiiRSCSSVYsUQYlEIpGsWqQISiQSiWTVIkVQIpFIJKsWKYISiUQiWbVIEZRIJBLJqkWKoEQikUhWLVIEJRKJRLJqkSIokUgkklWLFEGJRCKRrFqkCEokEolk1SJFUCKRSCSrFimCEolEIlm1SBGUSCQSyapFiqBEIpFIVi1SBCUSiUSyapEiKJFIJJJVixRBiUQikaxa/n/U9YuQh/Q7SAAAAABJRU5ErkJggg==" + }, + "metadata": {} + } + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 48, - "metadata": {}, + "execution_count": 27, + "source": [ + "epetals = compute_petals(e_uniprot_ids)\n", + "for tag, values in sorted(epetals.items(), key=lambda kv: len(kv[0]), reverse=True):\n", + " if not values:\n", + " continue\n", + " print(f\"{len(values):4d} unique Uniprot IDs in ({len(tag)}-way overlap) {', '.join(tag)}\")" + ], "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ " 470 unique Uniprot IDs in (5-way overlap) kinhub, klifs, pkinfam, reviewed_uniprot, dunbrack_msa\n", " 4 unique Uniprot IDs in (4-way overlap) klifs, pkinfam, reviewed_uniprot, dunbrack_msa\n", @@ -2930,37 +2539,18 @@ ] } ], - "source": [ - "epetals = compute_petals(e_uniprot_ids)\n", - "for tag, values in sorted(epetals.items(), key=lambda kv: len(kv[0]), reverse=True):\n", - " if not values:\n", - " continue\n", - " print(f\"{len(values):4d} unique Uniprot IDs in ({len(tag)}-way overlap) {', '.join(tag)}\")" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "#### Overlap for atypical kinases only" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": 28, "source": [ "a_datasets = {\n", " \"kinhub\": kinhub[kinhub.Group == \"Atypical\"],\n", @@ -2971,16 +2561,36 @@ "}\n", "a_uniprot_ids = {key: set(df.UniprotID.tolist()) for key, df in a_datasets.items()}\n", "plot_venn(a_uniprot_ids);" - ] + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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" + }, + "metadata": {} + } + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 58, - "metadata": {}, + "execution_count": 29, + "source": [ + "apetals = compute_petals(a_uniprot_ids)\n", + "for tag, values in sorted(apetals.items(), key=lambda kv: len(kv[0]), reverse=True):\n", + " if not values:\n", + " continue\n", + " print(f\"{len(values):4d} unique Uniprot IDs in ({len(tag)}-way overlap) {', '.join(tag)}\")" + ], "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ " 2 unique Uniprot IDs in (4-way overlap) kinhub, klifs, pkinfam, reviewed_uniprot\n", " 22 unique Uniprot IDs in (3-way overlap) kinhub, klifs, pkinfam\n", @@ -2993,56 +2603,46 @@ ] } ], - "source": [ - "apetals = compute_petals(a_uniprot_ids)\n", - "for tag, values in sorted(apetals.items(), key=lambda kv: len(kv[0]), reverse=True):\n", - " if not values:\n", - " continue\n", - " print(f\"{len(values):4d} unique Uniprot IDs in ({len(tag)}-way overlap) {', '.join(tag)}\")" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "### Dissect the contents of each petal\n", "\n", "Let's try to obtain information on the solitary leaves that include exclusive entries in each dataset. We can query the `petals` dictionary for information on the specific IDs. For example, which are those 3 unique IDs in KLIFS?\n", "\n", "> Note: You need to query using _tuples_ of the dataset keys, even for single-set petals" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 59, - "metadata": {}, + "execution_count": 30, + "source": [ + "print(*petals[(\"klifs\",)])" + ], "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - "Q8TBX8 P48426 O75747 P78356 Q8N8J0 Q9BTU6 P35557 O00750 P42356 O14986 Q9UJY1 O60331 Q99755 Q9H6X2 O43921 Q8TCG2 Q9UBF8 Q8NEB9 A4QPH2\n" + "Q8TCG2 Q9UJY1 O00750 O75747 Q9BTU6 Q9H6X2 Q8NEB9 P78356 P35557 Q8N8J0 Q99755 O43921 P42356 A4QPH2 Q9UBF8 O60331 O14986 Q8TBX8 P48426\n" ] } ], - "source": [ - "print(*petals[(\"klifs\",)])" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "Thanks to the Uniprot API we can check the GO annotations if we parse the lines starting with `DR GO` that also contain `F:` (for function-related annotations):" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 60, - "metadata": { - "scrolled": true - }, - "outputs": [], + "execution_count": 31, "source": [ "def query_uniprot_for_go(*uniprot_ids):\n", " for i, entry in enumerate(uniprot_ids, 1):\n", @@ -3055,49 +2655,60 @@ " elif line.startswith(\"DR GO;\") and \"; F:\" in line:\n", " print(line)\n", " print()" - ] + ], + "outputs": [], + "metadata": { + "scrolled": true + } }, { "cell_type": "code", - "execution_count": 61, - "metadata": {}, + "execution_count": 32, + "source": [ + "query_uniprot_for_go(*petals[(\"klifs\",)])" + ], "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - "1 Q8TBX8\n", - "ID PI42C_HUMAN Reviewed; 421 AA.\n", - "DE RecName: Full=Phosphatidylinositol 5-phosphate 4-kinase type-2 gamma {ECO:0000305};\n", - "DE EC=2.7.1.149 {ECO:0000305|PubMed:26774281};\n", - "DE AltName: Full=Phosphatidylinositol 5-phosphate 4-kinase type II gamma;\n", - "DE Short=PI(5)P 4-kinase type II gamma;\n", - "DE Short=PIP4KII-gamma;\n", - "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IDA:UniProtKB.\n", - "DR GO; GO:0016309; F:1-phosphatidylinositol-5-phosphate 4-kinase activity; IEA:UniProtKB-EC.\n", + "1 Q8TCG2\n", + "ID P4K2B_HUMAN Reviewed; 481 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-kinase type 2-beta;\n", + "DE EC=2.7.1.67;\n", + "DE AltName: Full=Phosphatidylinositol 4-kinase type II-beta;\n", + "DE Short=PI4KII-BETA;\n", + "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", + "\n", + "2 Q9UJY1\n", + "ID HSPB8_HUMAN Reviewed; 196 AA.\n", + "DE RecName: Full=Heat shock protein beta-8;\n", + "DE Short=HspB8;\n", + "DE AltName: Full=Alpha-crystallin C chain;\n", + "DE AltName: Full=E2-induced gene 1 protein;\n", + "DE AltName: Full=Protein kinase H11;\n", + "DE AltName: Full=Small stress protein-like protein HSP22;\n", "DR GO; GO:0042802; F:identical protein binding; IPI:IntAct.\n", + "DR GO; GO:0042803; F:protein homodimerization activity; IDA:ARUK-UCL.\n", "\n", - "2 P48426\n", - "ID PI42A_HUMAN Reviewed; 406 AA.\n", - "DE RecName: Full=Phosphatidylinositol 5-phosphate 4-kinase type-2 alpha {ECO:0000305};\n", - "DE EC=2.7.1.149 {ECO:0000269|PubMed:9367159};\n", - "DE AltName: Full=1-phosphatidylinositol 5-phosphate 4-kinase 2-alpha;\n", - "DE AltName: Full=Diphosphoinositide kinase 2-alpha;\n", - "DE AltName: Full=PIP5KIII;\n", - "DE AltName: Full=Phosphatidylinositol 5-Phosphate 4-Kinase;\n", - "DE Short=PI5P4Kalpha;\n", - "DE AltName: Full=Phosphatidylinositol 5-phosphate 4-kinase type II alpha;\n", - "DE Short=PI(5)P 4-kinase type II alpha;\n", - "DE Short=PIP4KII-alpha;\n", - "DE AltName: Full=PtdIns(4)P-5-kinase B isoform;\n", - "DE AltName: Full=PtdIns(4)P-5-kinase C isoform;\n", - "DE AltName: Full=PtdIns(5)P-4-kinase isoform 2-alpha;\n", - "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IDA:UniProtKB.\n", - "DR GO; GO:0016309; F:1-phosphatidylinositol-5-phosphate 4-kinase activity; IDA:FlyBase.\n", + "3 O00750\n", + "ID P3C2B_HUMAN Reviewed; 1634 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-phosphate 3-kinase C2 domain-containing subunit beta;\n", + "DE Short=PI3K-C2-beta;\n", + "DE Short=PtdIns-3-kinase C2 subunit beta;\n", + "DE EC=2.7.1.137 {ECO:0000269|PubMed:10805725, ECO:0000269|PubMed:11533253, ECO:0000269|PubMed:9830063};\n", + "DE EC=2.7.1.154 {ECO:0000269|PubMed:10805725, ECO:0000269|PubMed:9830063};\n", + "DE AltName: Full=C2-PI3K;\n", + "DE AltName: Full=Phosphoinositide 3-kinase-C2-beta;\n", + "DR GO; GO:0016303; F:1-phosphatidylinositol-3-kinase activity; IDA:UniProtKB.\n", + "DR GO; GO:0035005; F:1-phosphatidylinositol-4-phosphate 3-kinase activity; IDA:UniProtKB.\n", "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", + "DR GO; GO:0001727; F:lipid kinase activity; IEA:Ensembl.\n", + "DR GO; GO:0035091; F:phosphatidylinositol binding; IEA:InterPro.\n", + "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", "\n", - "3 O75747\n", + "4 O75747\n", "ID P3C2G_HUMAN Reviewed; 1445 AA.\n", "DE RecName: Full=Phosphatidylinositol 4-phosphate 3-kinase C2 domain-containing subunit gamma;\n", "DE Short=PI3K-C2-gamma;\n", @@ -3111,7 +2722,42 @@ "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", "DR GO; GO:0016307; F:phosphatidylinositol phosphate kinase activity; NAS:UniProtKB.\n", "\n", - "4 P78356\n", + "5 Q9BTU6\n", + "ID P4K2A_HUMAN Reviewed; 479 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-kinase type 2-alpha;\n", + "DE EC=2.7.1.67 {ECO:0000269|PubMed:11279162, ECO:0000269|PubMed:20388919, ECO:0000269|PubMed:24675427, ECO:0000269|PubMed:25168678};\n", + "DE AltName: Full=Phosphatidylinositol 4-kinase type II-alpha;\n", + "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IDA:UniProtKB.\n", + "DR GO; GO:0035651; F:AP-3 adaptor complex binding; IDA:UniProtKB.\n", + "DR GO; GO:0005524; F:ATP binding; IDA:UniProtKB.\n", + "DR GO; GO:0000287; F:magnesium ion binding; NAS:UniProtKB.\n", + "\n", + "6 Q9H6X2\n", + "ID ANTR1_HUMAN Reviewed; 564 AA.\n", + "DE RecName: Full=Anthrax toxin receptor 1 {ECO:0000305};\n", + "DE AltName: Full=Tumor endothelial marker 8 {ECO:0000303|PubMed:10947988};\n", + "DE Flags: Precursor;\n", + "DR GO; GO:0051015; F:actin filament binding; IDA:UniProtKB.\n", + "DR GO; GO:0005518; F:collagen binding; IDA:UniProtKB.\n", + "DR GO; GO:0046872; F:metal ion binding; IEA:UniProtKB-KW.\n", + "DR GO; GO:0004888; F:transmembrane signaling receptor activity; IDA:UniProtKB.\n", + "\n", + "7 Q8NEB9\n", + "ID PK3C3_HUMAN Reviewed; 887 AA.\n", + "DE RecName: Full=Phosphatidylinositol 3-kinase catalytic subunit type 3;\n", + "DE Short=PI3-kinase type 3;\n", + "DE Short=PI3K type 3;\n", + "DE Short=PtdIns-3-kinase type 3;\n", + "DE EC=2.7.1.137 {ECO:0000269|PubMed:7628435};\n", + "DE AltName: Full=Phosphatidylinositol 3-kinase p100 subunit;\n", + "DE AltName: Full=Phosphoinositide-3-kinase class 3;\n", + "DE AltName: Full=hVps34;\n", + "DR GO; GO:0016303; F:1-phosphatidylinositol-3-kinase activity; IMP:UniProtKB.\n", + "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", + "DR GO; GO:0016301; F:kinase activity; IDA:MGI.\n", + "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", + "\n", + "8 P78356\n", "ID PI42B_HUMAN Reviewed; 416 AA.\n", "DE RecName: Full=Phosphatidylinositol 5-phosphate 4-kinase type-2 beta {ECO:0000305};\n", "DE EC=2.7.1.149 {ECO:0000305|PubMed:26774281};\n", @@ -3127,23 +2773,7 @@ "DR GO; GO:0005525; F:GTP binding; IDA:UniProtKB.\n", "DR GO; GO:0042803; F:protein homodimerization activity; IDA:CAFA.\n", "\n", - "5 Q8N8J0\n", - "ID PI4P1_HUMAN Reviewed; 262 AA.\n", - "DE RecName: Full=Putative inactive phosphatidylinositol 4-kinase alpha-like protein P1;\n", - "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", - "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", - "\n", - "6 Q9BTU6\n", - "ID P4K2A_HUMAN Reviewed; 479 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-kinase type 2-alpha;\n", - "DE EC=2.7.1.67 {ECO:0000269|PubMed:11279162, ECO:0000269|PubMed:20388919, ECO:0000269|PubMed:24675427, ECO:0000269|PubMed:25168678};\n", - "DE AltName: Full=Phosphatidylinositol 4-kinase type II-alpha;\n", - "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IDA:UniProtKB.\n", - "DR GO; GO:0035651; F:AP-3 adaptor complex binding; IDA:UniProtKB.\n", - "DR GO; GO:0005524; F:ATP binding; IDA:UniProtKB.\n", - "DR GO; GO:0000287; F:magnesium ion binding; NAS:UniProtKB.\n", - "\n", - "7 P35557\n", + "9 P35557\n", "ID HXK4_HUMAN Reviewed; 465 AA.\n", "DE RecName: Full=Hexokinase-4 {ECO:0000305};\n", "DE Short=HK4 {ECO:0000305};\n", @@ -3158,71 +2788,13 @@ "DR GO; GO:0005536; F:glucose binding; IDA:UniProtKB.\n", "DR GO; GO:0019158; F:mannokinase activity; IBA:GO_Central.\n", "\n", - "8 O00750\n", - "ID P3C2B_HUMAN Reviewed; 1634 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-phosphate 3-kinase C2 domain-containing subunit beta;\n", - "DE Short=PI3K-C2-beta;\n", - "DE Short=PtdIns-3-kinase C2 subunit beta;\n", - "DE EC=2.7.1.137 {ECO:0000269|PubMed:10805725, ECO:0000269|PubMed:11533253, ECO:0000269|PubMed:9830063};\n", - "DE EC=2.7.1.154 {ECO:0000269|PubMed:10805725, ECO:0000269|PubMed:9830063};\n", - "DE AltName: Full=C2-PI3K;\n", - "DE AltName: Full=Phosphoinositide 3-kinase-C2-beta;\n", - "DR GO; GO:0016303; F:1-phosphatidylinositol-3-kinase activity; IDA:UniProtKB.\n", - "DR GO; GO:0035005; F:1-phosphatidylinositol-4-phosphate 3-kinase activity; IDA:UniProtKB.\n", - "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "DR GO; GO:0001727; F:lipid kinase activity; IEA:Ensembl.\n", - "DR GO; GO:0035091; F:phosphatidylinositol binding; IEA:InterPro.\n", - "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", - "\n", - "9 P42356\n", - "ID PI4KA_HUMAN Reviewed; 2102 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-kinase alpha;\n", - "DE Short=PI4-kinase alpha;\n", - "DE Short=PI4K-alpha;\n", - "DE Short=PtdIns-4-kinase alpha;\n", - "DE EC=2.7.1.67 {ECO:0000269|PubMed:10101268};\n", - "DE AltName: Full=Phosphatidylinositol 4-Kinase III alpha;\n", - "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; ISS:UniProtKB.\n", - "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "DR GO; GO:0045296; F:cadherin binding; HDA:BHF-UCL.\n", - "DR GO; GO:0016301; F:kinase activity; IDA:MGI.\n", + "10 Q8N8J0\n", + "ID PI4P1_HUMAN Reviewed; 262 AA.\n", + "DE RecName: Full=Putative inactive phosphatidylinositol 4-kinase alpha-like protein P1;\n", + "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", "\n", - "10 O14986\n", - "ID PI51B_HUMAN Reviewed; 540 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-phosphate 5-kinase type-1 beta {ECO:0000305|PubMed:8955136};\n", - "DE Short=PIP5K1-beta {ECO:0000303|PubMed:8955136};\n", - "DE Short=PtdIns(4)P-5-kinase 1 beta {ECO:0000305|PubMed:8955136};\n", - "DE EC=2.7.1.68 {ECO:0000250|UniProtKB:P70181};\n", - "DE AltName: Full=Phosphatidylinositol 4-phosphate 5-kinase type I beta {ECO:0000305|PubMed:8955136};\n", - "DE Short=PIP5KIbeta {ECO:0000303|PubMed:8955136};\n", - "DE AltName: Full=Protein STM-7 {ECO:0000303|PubMed:8841185};\n", - "DE AltName: Full=Type I phosphatidylinositol 4-phosphate 5-kinase beta {ECO:0000305|PubMed:8955136};\n", - "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; ISS:UniProtKB.\n", - "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "\n", - "11 Q9UJY1\n", - "ID HSPB8_HUMAN Reviewed; 196 AA.\n", - "DE RecName: Full=Heat shock protein beta-8;\n", - "DE Short=HspB8;\n", - "DE AltName: Full=Alpha-crystallin C chain;\n", - "DE AltName: Full=E2-induced gene 1 protein;\n", - "DE AltName: Full=Protein kinase H11;\n", - "DE AltName: Full=Small stress protein-like protein HSP22;\n", - "DR GO; GO:0042802; F:identical protein binding; IPI:IntAct.\n", - "DR GO; GO:0042803; F:protein homodimerization activity; IDA:ARUK-UCL.\n", - "\n", - "12 O60331\n", - "ID PI51C_HUMAN Reviewed; 668 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-phosphate 5-kinase type-1 gamma {ECO:0000305|PubMed:12422219};\n", - "DE Short=PIP5K1gamma {ECO:0000305|PubMed:12422219};\n", - "DE Short=PtdIns(4)P-5-kinase 1 gamma {ECO:0000305|PubMed:12422219};\n", - "DE EC=2.7.1.68 {ECO:0000269|PubMed:12422219, ECO:0000269|PubMed:22942276};\n", - "DE AltName: Full=Type I phosphatidylinositol 4-phosphate 5-kinase gamma {ECO:0000250|UniProtKB:O70161};\n", - "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; TAS:Reactome.\n", - "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "\n", - "13 Q99755\n", + "11 Q99755\n", "ID PI51A_HUMAN Reviewed; 562 AA.\n", "DE RecName: Full=Phosphatidylinositol 4-phosphate 5-kinase type-1 alpha {ECO:0000305|PubMed:19158393};\n", "DE Short=PIP5K1-alpha {ECO:0000303|PubMed:19158393, ECO:0000303|PubMed:8955136};\n", @@ -3235,17 +2807,7 @@ "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", "DR GO; GO:0019900; F:kinase binding; IDA:UniProtKB.\n", "\n", - "14 Q9H6X2\n", - "ID ANTR1_HUMAN Reviewed; 564 AA.\n", - "DE RecName: Full=Anthrax toxin receptor 1;\n", - "DE AltName: Full=Tumor endothelial marker 8;\n", - "DE Flags: Precursor;\n", - "DR GO; GO:0051015; F:actin filament binding; IDA:UniProtKB.\n", - "DR GO; GO:0005518; F:collagen binding; IDA:UniProtKB.\n", - "DR GO; GO:0046872; F:metal ion binding; IEA:UniProtKB-KW.\n", - "DR GO; GO:0004888; F:transmembrane signaling receptor activity; IDA:UniProtKB.\n", - "\n", - "15 O43921\n", + "12 O43921\n", "ID EFNA2_HUMAN Reviewed; 213 AA.\n", "DE RecName: Full=Ephrin-A2;\n", "DE AltName: Full=EPH-related receptor tyrosine kinase ligand 6;\n", @@ -3255,16 +2817,27 @@ "DE Flags: Precursor;\n", "DR GO; GO:0046875; F:ephrin receptor binding; IBA:GO_Central.\n", "\n", - "16 Q8TCG2\n", - "ID P4K2B_HUMAN Reviewed; 481 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-kinase type 2-beta;\n", - "DE EC=2.7.1.67;\n", - "DE AltName: Full=Phosphatidylinositol 4-kinase type II-beta;\n", - "DE Short=PI4KII-BETA;\n", - "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", + "13 P42356\n", + "ID PI4KA_HUMAN Reviewed; 2102 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-kinase alpha;\n", + "DE Short=PI4-kinase alpha;\n", + "DE Short=PI4K-alpha;\n", + "DE Short=PtdIns-4-kinase alpha;\n", + "DE EC=2.7.1.67 {ECO:0000269|PubMed:10101268};\n", + "DE AltName: Full=Phosphatidylinositol 4-Kinase III alpha;\n", + "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; ISS:UniProtKB.\n", "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", + "DR GO; GO:0045296; F:cadherin binding; HDA:BHF-UCL.\n", + "DR GO; GO:0016301; F:kinase activity; IDA:MGI.\n", + "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", + "\n", + "14 A4QPH2\n", + "ID PI4P2_HUMAN Reviewed; 592 AA.\n", + "DE RecName: Full=Putative phosphatidylinositol 4-kinase alpha-like protein P2;\n", + "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", + "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", "\n", - "17 Q9UBF8\n", + "15 Q9UBF8\n", "ID PI4KB_HUMAN Reviewed; 816 AA.\n", "DE RecName: Full=Phosphatidylinositol 4-kinase beta {ECO:0000305};\n", "DE Short=PI4K-beta;\n", @@ -3279,68 +2852,112 @@ "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", "\n", - "18 Q8NEB9\n", - "ID PK3C3_HUMAN Reviewed; 887 AA.\n", - "DE RecName: Full=Phosphatidylinositol 3-kinase catalytic subunit type 3;\n", - "DE Short=PI3-kinase type 3;\n", - "DE Short=PI3K type 3;\n", - "DE Short=PtdIns-3-kinase type 3;\n", - "DE EC=2.7.1.137 {ECO:0000269|PubMed:7628435};\n", - "DE AltName: Full=Phosphatidylinositol 3-kinase p100 subunit;\n", - "DE AltName: Full=Phosphoinositide-3-kinase class 3;\n", - "DE AltName: Full=hVps34;\n", - "DR GO; GO:0016303; F:1-phosphatidylinositol-3-kinase activity; IMP:UniProtKB.\n", + "16 O60331\n", + "ID PI51C_HUMAN Reviewed; 668 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-phosphate 5-kinase type-1 gamma {ECO:0000305|PubMed:12422219};\n", + "DE Short=PIP5K1gamma {ECO:0000305|PubMed:12422219};\n", + "DE Short=PtdIns(4)P-5-kinase 1 gamma {ECO:0000305|PubMed:12422219};\n", + "DE EC=2.7.1.68 {ECO:0000269|PubMed:12422219, ECO:0000269|PubMed:22942276};\n", + "DE AltName: Full=Type I phosphatidylinositol 4-phosphate 5-kinase gamma {ECO:0000250|UniProtKB:O70161};\n", + "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IEA:UniProtKB-EC.\n", + "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", + "\n", + "17 O14986\n", + "ID PI51B_HUMAN Reviewed; 540 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-phosphate 5-kinase type-1 beta {ECO:0000305|PubMed:8955136};\n", + "DE Short=PIP5K1-beta {ECO:0000303|PubMed:8955136};\n", + "DE Short=PtdIns(4)P-5-kinase 1 beta {ECO:0000305|PubMed:8955136};\n", + "DE EC=2.7.1.68 {ECO:0000250|UniProtKB:P70181};\n", + "DE AltName: Full=Phosphatidylinositol 4-phosphate 5-kinase type I beta {ECO:0000305|PubMed:8955136};\n", + "DE Short=PIP5KIbeta {ECO:0000303|PubMed:8955136};\n", + "DE AltName: Full=Protein STM-7 {ECO:0000303|PubMed:8841185};\n", + "DE AltName: Full=Type I phosphatidylinositol 4-phosphate 5-kinase beta {ECO:0000305|PubMed:8955136};\n", + "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; ISS:UniProtKB.\n", + "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", + "\n", + "18 Q8TBX8\n", + "ID PI42C_HUMAN Reviewed; 421 AA.\n", + "DE RecName: Full=Phosphatidylinositol 5-phosphate 4-kinase type-2 gamma {ECO:0000305};\n", + "DE EC=2.7.1.149 {ECO:0000305|PubMed:26774281};\n", + "DE AltName: Full=Phosphatidylinositol 5-phosphate 4-kinase type II gamma;\n", + "DE Short=PI(5)P 4-kinase type II gamma;\n", + "DE Short=PIP4KII-gamma;\n", + "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IDA:UniProtKB.\n", + "DR GO; GO:0016309; F:1-phosphatidylinositol-5-phosphate 4-kinase activity; IEA:UniProtKB-EC.\n", "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "DR GO; GO:0016301; F:kinase activity; IDA:MGI.\n", - "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", + "DR GO; GO:0042802; F:identical protein binding; IPI:IntAct.\n", "\n", - "19 A4QPH2\n", - "ID PI4P2_HUMAN Reviewed; 592 AA.\n", - "DE RecName: Full=Putative phosphatidylinositol 4-kinase alpha-like protein P2;\n", - "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", - "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", + "19 P48426\n", + "ID PI42A_HUMAN Reviewed; 406 AA.\n", + "DE RecName: Full=Phosphatidylinositol 5-phosphate 4-kinase type-2 alpha {ECO:0000305};\n", + "DE EC=2.7.1.149 {ECO:0000269|PubMed:9367159};\n", + "DE AltName: Full=1-phosphatidylinositol 5-phosphate 4-kinase 2-alpha;\n", + "DE AltName: Full=Diphosphoinositide kinase 2-alpha;\n", + "DE AltName: Full=PIP5KIII;\n", + "DE AltName: Full=Phosphatidylinositol 5-Phosphate 4-Kinase;\n", + "DE Short=PI5P4Kalpha;\n", + "DE AltName: Full=Phosphatidylinositol 5-phosphate 4-kinase type II alpha;\n", + "DE Short=PI(5)P 4-kinase type II alpha;\n", + "DE Short=PIP4KII-alpha;\n", + "DE AltName: Full=PtdIns(4)P-5-kinase B isoform;\n", + "DE AltName: Full=PtdIns(4)P-5-kinase C isoform;\n", + "DE AltName: Full=PtdIns(5)P-4-kinase isoform 2-alpha;\n", + "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IDA:UniProtKB.\n", + "DR GO; GO:0016309; F:1-phosphatidylinositol-5-phosphate 4-kinase activity; IDA:FlyBase.\n", + "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", + "DR GO; GO:0042803; F:protein homodimerization activity; IDA:UniProtKB.\n", "\n" ] } ], - "source": [ - "query_uniprot_for_go(*petals[(\"klifs\",)])" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "#### Dissect eukariotic petals" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 64, - "metadata": {}, + "execution_count": 33, + "source": [ + "print(*epetals[(\"klifs\",)])" + ], "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - "P35557 O43921\n" + "O43921 P35557\n" ] } ], - "source": [ - "print(*epetals[(\"klifs\",)])" - ] + "metadata": {} }, { "cell_type": "code", - "execution_count": 66, - "metadata": {}, + "execution_count": 34, + "source": [ + "query_uniprot_for_go(*epetals[(\"klifs\",)])" + ], "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - "1 P35557\n", + "1 O43921\n", + "ID EFNA2_HUMAN Reviewed; 213 AA.\n", + "DE RecName: Full=Ephrin-A2;\n", + "DE AltName: Full=EPH-related receptor tyrosine kinase ligand 6;\n", + "DE Short=LERK-6;\n", + "DE AltName: Full=HEK7 ligand;\n", + "DE Short=HEK7-L;\n", + "DE Flags: Precursor;\n", + "DR GO; GO:0046875; F:ephrin receptor binding; IBA:GO_Central.\n", + "\n", + "2 P35557\n", "ID HXK4_HUMAN Reviewed; 465 AA.\n", "DE RecName: Full=Hexokinase-4 {ECO:0000305};\n", "DE Short=HK4 {ECO:0000305};\n", @@ -3354,125 +2971,73 @@ "DR GO; GO:0004340; F:glucokinase activity; IDA:UniProtKB.\n", "DR GO; GO:0005536; F:glucose binding; IDA:UniProtKB.\n", "DR GO; GO:0019158; F:mannokinase activity; IBA:GO_Central.\n", - "\n", - "2 O43921\n", - "ID EFNA2_HUMAN Reviewed; 213 AA.\n", - "DE RecName: Full=Ephrin-A2;\n", - "DE AltName: Full=EPH-related receptor tyrosine kinase ligand 6;\n", - "DE Short=LERK-6;\n", - "DE AltName: Full=HEK7 ligand;\n", - "DE Short=HEK7-L;\n", - "DE Flags: Precursor;\n", - "DR GO; GO:0046875; F:ephrin receptor binding; IBA:GO_Central.\n", "\n" ] } ], - "source": [ - "query_uniprot_for_go(*epetals[(\"klifs\",)])" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "#### Dissect atypical petals" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 68, - "metadata": {}, + "execution_count": 35, + "source": [ + "print(*apetals[(\"klifs\",)])" + ], "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - "Q9H6X2 A4QPH2 O75747 Q8TBX8 Q8TCG2 O00750 P42356 O14986 P48426 Q9UJY1 P78356 O60331 Q9UBF8 Q8NEB9 Q8N8J0 Q99755 Q9BTU6\n" + "Q9H6X2 Q8NEB9 P42356 Q8TCG2 Q9UJY1 P78356 Q8N8J0 Q8TBX8 O00750 A4QPH2 Q99755 Q9UBF8 O60331 O14986 O75747 Q9BTU6 P48426\n" ] } ], - "source": [ - "print(*apetals[(\"klifs\",)])" - ] + "metadata": {} }, { "cell_type": "code", - "execution_count": 69, - "metadata": {}, + "execution_count": 36, + "source": [ + "query_uniprot_for_go(*apetals[(\"klifs\",)])" + ], "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ "1 Q9H6X2\n", "ID ANTR1_HUMAN Reviewed; 564 AA.\n", - "DE RecName: Full=Anthrax toxin receptor 1;\n", - "DE AltName: Full=Tumor endothelial marker 8;\n", + "DE RecName: Full=Anthrax toxin receptor 1 {ECO:0000305};\n", + "DE AltName: Full=Tumor endothelial marker 8 {ECO:0000303|PubMed:10947988};\n", "DE Flags: Precursor;\n", "DR GO; GO:0051015; F:actin filament binding; IDA:UniProtKB.\n", "DR GO; GO:0005518; F:collagen binding; IDA:UniProtKB.\n", "DR GO; GO:0046872; F:metal ion binding; IEA:UniProtKB-KW.\n", "DR GO; GO:0004888; F:transmembrane signaling receptor activity; IDA:UniProtKB.\n", "\n", - "2 A4QPH2\n", - "ID PI4P2_HUMAN Reviewed; 592 AA.\n", - "DE RecName: Full=Putative phosphatidylinositol 4-kinase alpha-like protein P2;\n", - "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", - "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", - "\n", - "3 O75747\n", - "ID P3C2G_HUMAN Reviewed; 1445 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-phosphate 3-kinase C2 domain-containing subunit gamma;\n", - "DE Short=PI3K-C2-gamma;\n", - "DE Short=PtdIns-3-kinase C2 subunit gamma;\n", - "DE EC=2.7.1.154;\n", - "DE AltName: Full=Phosphoinositide 3-kinase-C2-gamma;\n", - "DR GO; GO:0016303; F:1-phosphatidylinositol-3-kinase activity; IBA:GO_Central.\n", - "DR GO; GO:0035005; F:1-phosphatidylinositol-4-phosphate 3-kinase activity; IBA:GO_Central.\n", - "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "DR GO; GO:0035091; F:phosphatidylinositol binding; IEA:InterPro.\n", - "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", - "DR GO; GO:0016307; F:phosphatidylinositol phosphate kinase activity; NAS:UniProtKB.\n", - "\n", - "4 Q8TBX8\n", - "ID PI42C_HUMAN Reviewed; 421 AA.\n", - "DE RecName: Full=Phosphatidylinositol 5-phosphate 4-kinase type-2 gamma {ECO:0000305};\n", - "DE EC=2.7.1.149 {ECO:0000305|PubMed:26774281};\n", - "DE AltName: Full=Phosphatidylinositol 5-phosphate 4-kinase type II gamma;\n", - "DE Short=PI(5)P 4-kinase type II gamma;\n", - "DE Short=PIP4KII-gamma;\n", - "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IDA:UniProtKB.\n", - "DR GO; GO:0016309; F:1-phosphatidylinositol-5-phosphate 4-kinase activity; IEA:UniProtKB-EC.\n", - "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "DR GO; GO:0042802; F:identical protein binding; IPI:IntAct.\n", - "\n", - "5 Q8TCG2\n", - "ID P4K2B_HUMAN Reviewed; 481 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-kinase type 2-beta;\n", - "DE EC=2.7.1.67;\n", - "DE AltName: Full=Phosphatidylinositol 4-kinase type II-beta;\n", - "DE Short=PI4KII-BETA;\n", - "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", - "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "\n", - "6 O00750\n", - "ID P3C2B_HUMAN Reviewed; 1634 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-phosphate 3-kinase C2 domain-containing subunit beta;\n", - "DE Short=PI3K-C2-beta;\n", - "DE Short=PtdIns-3-kinase C2 subunit beta;\n", - "DE EC=2.7.1.137 {ECO:0000269|PubMed:10805725, ECO:0000269|PubMed:11533253, ECO:0000269|PubMed:9830063};\n", - "DE EC=2.7.1.154 {ECO:0000269|PubMed:10805725, ECO:0000269|PubMed:9830063};\n", - "DE AltName: Full=C2-PI3K;\n", - "DE AltName: Full=Phosphoinositide 3-kinase-C2-beta;\n", - "DR GO; GO:0016303; F:1-phosphatidylinositol-3-kinase activity; IDA:UniProtKB.\n", - "DR GO; GO:0035005; F:1-phosphatidylinositol-4-phosphate 3-kinase activity; IDA:UniProtKB.\n", + "2 Q8NEB9\n", + "ID PK3C3_HUMAN Reviewed; 887 AA.\n", + "DE RecName: Full=Phosphatidylinositol 3-kinase catalytic subunit type 3;\n", + "DE Short=PI3-kinase type 3;\n", + "DE Short=PI3K type 3;\n", + "DE Short=PtdIns-3-kinase type 3;\n", + "DE EC=2.7.1.137 {ECO:0000269|PubMed:7628435};\n", + "DE AltName: Full=Phosphatidylinositol 3-kinase p100 subunit;\n", + "DE AltName: Full=Phosphoinositide-3-kinase class 3;\n", + "DE AltName: Full=hVps34;\n", + "DR GO; GO:0016303; F:1-phosphatidylinositol-3-kinase activity; IMP:UniProtKB.\n", "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "DR GO; GO:0001727; F:lipid kinase activity; IEA:Ensembl.\n", - "DR GO; GO:0035091; F:phosphatidylinositol binding; IEA:InterPro.\n", + "DR GO; GO:0016301; F:kinase activity; IDA:MGI.\n", "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", "\n", - "7 P42356\n", + "3 P42356\n", "ID PI4KA_HUMAN Reviewed; 2102 AA.\n", "DE RecName: Full=Phosphatidylinositol 4-kinase alpha;\n", "DE Short=PI4-kinase alpha;\n", @@ -3486,39 +3051,16 @@ "DR GO; GO:0016301; F:kinase activity; IDA:MGI.\n", "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", "\n", - "8 O14986\n", - "ID PI51B_HUMAN Reviewed; 540 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-phosphate 5-kinase type-1 beta {ECO:0000305|PubMed:8955136};\n", - "DE Short=PIP5K1-beta {ECO:0000303|PubMed:8955136};\n", - "DE Short=PtdIns(4)P-5-kinase 1 beta {ECO:0000305|PubMed:8955136};\n", - "DE EC=2.7.1.68 {ECO:0000250|UniProtKB:P70181};\n", - "DE AltName: Full=Phosphatidylinositol 4-phosphate 5-kinase type I beta {ECO:0000305|PubMed:8955136};\n", - "DE Short=PIP5KIbeta {ECO:0000303|PubMed:8955136};\n", - "DE AltName: Full=Protein STM-7 {ECO:0000303|PubMed:8841185};\n", - "DE AltName: Full=Type I phosphatidylinositol 4-phosphate 5-kinase beta {ECO:0000305|PubMed:8955136};\n", - "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; ISS:UniProtKB.\n", - "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "\n", - "9 P48426\n", - "ID PI42A_HUMAN Reviewed; 406 AA.\n", - "DE RecName: Full=Phosphatidylinositol 5-phosphate 4-kinase type-2 alpha {ECO:0000305};\n", - "DE EC=2.7.1.149 {ECO:0000269|PubMed:9367159};\n", - "DE AltName: Full=1-phosphatidylinositol 5-phosphate 4-kinase 2-alpha;\n", - "DE AltName: Full=Diphosphoinositide kinase 2-alpha;\n", - "DE AltName: Full=PIP5KIII;\n", - "DE AltName: Full=Phosphatidylinositol 5-Phosphate 4-Kinase;\n", - "DE Short=PI5P4Kalpha;\n", - "DE AltName: Full=Phosphatidylinositol 5-phosphate 4-kinase type II alpha;\n", - "DE Short=PI(5)P 4-kinase type II alpha;\n", - "DE Short=PIP4KII-alpha;\n", - "DE AltName: Full=PtdIns(4)P-5-kinase B isoform;\n", - "DE AltName: Full=PtdIns(4)P-5-kinase C isoform;\n", - "DE AltName: Full=PtdIns(5)P-4-kinase isoform 2-alpha;\n", - "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IDA:UniProtKB.\n", - "DR GO; GO:0016309; F:1-phosphatidylinositol-5-phosphate 4-kinase activity; IDA:FlyBase.\n", + "4 Q8TCG2\n", + "ID P4K2B_HUMAN Reviewed; 481 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-kinase type 2-beta;\n", + "DE EC=2.7.1.67;\n", + "DE AltName: Full=Phosphatidylinositol 4-kinase type II-beta;\n", + "DE Short=PI4KII-BETA;\n", + "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", "\n", - "10 Q9UJY1\n", + "5 Q9UJY1\n", "ID HSPB8_HUMAN Reviewed; 196 AA.\n", "DE RecName: Full=Heat shock protein beta-8;\n", "DE Short=HspB8;\n", @@ -3529,7 +3071,7 @@ "DR GO; GO:0042802; F:identical protein binding; IPI:IntAct.\n", "DR GO; GO:0042803; F:protein homodimerization activity; IDA:ARUK-UCL.\n", "\n", - "11 P78356\n", + "6 P78356\n", "ID PI42B_HUMAN Reviewed; 416 AA.\n", "DE RecName: Full=Phosphatidylinositol 5-phosphate 4-kinase type-2 beta {ECO:0000305};\n", "DE EC=2.7.1.149 {ECO:0000305|PubMed:26774281};\n", @@ -3545,17 +3087,60 @@ "DR GO; GO:0005525; F:GTP binding; IDA:UniProtKB.\n", "DR GO; GO:0042803; F:protein homodimerization activity; IDA:CAFA.\n", "\n", - "12 O60331\n", - "ID PI51C_HUMAN Reviewed; 668 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-phosphate 5-kinase type-1 gamma {ECO:0000305|PubMed:12422219};\n", - "DE Short=PIP5K1gamma {ECO:0000305|PubMed:12422219};\n", - "DE Short=PtdIns(4)P-5-kinase 1 gamma {ECO:0000305|PubMed:12422219};\n", - "DE EC=2.7.1.68 {ECO:0000269|PubMed:12422219, ECO:0000269|PubMed:22942276};\n", - "DE AltName: Full=Type I phosphatidylinositol 4-phosphate 5-kinase gamma {ECO:0000250|UniProtKB:O70161};\n", - "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; TAS:Reactome.\n", + "7 Q8N8J0\n", + "ID PI4P1_HUMAN Reviewed; 262 AA.\n", + "DE RecName: Full=Putative inactive phosphatidylinositol 4-kinase alpha-like protein P1;\n", + "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", + "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", + "\n", + "8 Q8TBX8\n", + "ID PI42C_HUMAN Reviewed; 421 AA.\n", + "DE RecName: Full=Phosphatidylinositol 5-phosphate 4-kinase type-2 gamma {ECO:0000305};\n", + "DE EC=2.7.1.149 {ECO:0000305|PubMed:26774281};\n", + "DE AltName: Full=Phosphatidylinositol 5-phosphate 4-kinase type II gamma;\n", + "DE Short=PI(5)P 4-kinase type II gamma;\n", + "DE Short=PIP4KII-gamma;\n", + "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IDA:UniProtKB.\n", + "DR GO; GO:0016309; F:1-phosphatidylinositol-5-phosphate 4-kinase activity; IEA:UniProtKB-EC.\n", + "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", + "DR GO; GO:0042802; F:identical protein binding; IPI:IntAct.\n", + "\n", + "9 O00750\n", + "ID P3C2B_HUMAN Reviewed; 1634 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-phosphate 3-kinase C2 domain-containing subunit beta;\n", + "DE Short=PI3K-C2-beta;\n", + "DE Short=PtdIns-3-kinase C2 subunit beta;\n", + "DE EC=2.7.1.137 {ECO:0000269|PubMed:10805725, ECO:0000269|PubMed:11533253, ECO:0000269|PubMed:9830063};\n", + "DE EC=2.7.1.154 {ECO:0000269|PubMed:10805725, ECO:0000269|PubMed:9830063};\n", + "DE AltName: Full=C2-PI3K;\n", + "DE AltName: Full=Phosphoinositide 3-kinase-C2-beta;\n", + "DR GO; GO:0016303; F:1-phosphatidylinositol-3-kinase activity; IDA:UniProtKB.\n", + "DR GO; GO:0035005; F:1-phosphatidylinositol-4-phosphate 3-kinase activity; IDA:UniProtKB.\n", + "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", + "DR GO; GO:0001727; F:lipid kinase activity; IEA:Ensembl.\n", + "DR GO; GO:0035091; F:phosphatidylinositol binding; IEA:InterPro.\n", + "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", + "\n", + "10 A4QPH2\n", + "ID PI4P2_HUMAN Reviewed; 592 AA.\n", + "DE RecName: Full=Putative phosphatidylinositol 4-kinase alpha-like protein P2;\n", + "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", + "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", + "\n", + "11 Q99755\n", + "ID PI51A_HUMAN Reviewed; 562 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-phosphate 5-kinase type-1 alpha {ECO:0000305|PubMed:19158393};\n", + "DE Short=PIP5K1-alpha {ECO:0000303|PubMed:19158393, ECO:0000303|PubMed:8955136};\n", + "DE Short=PtdIns(4)P-5-kinase 1 alpha {ECO:0000305|PubMed:19158393};\n", + "DE EC=2.7.1.68 {ECO:0000269|PubMed:21477596, ECO:0000269|PubMed:22942276, ECO:0000269|PubMed:8955136};\n", + "DE AltName: Full=68 kDa type I phosphatidylinositol 4-phosphate 5-kinase alpha {ECO:0000303|PubMed:8955136};\n", + "DE AltName: Full=Phosphatidylinositol 4-phosphate 5-kinase type I alpha {ECO:0000305|PubMed:19158393};\n", + "DE Short=PIP5KIalpha {ECO:0000303|PubMed:19158393, ECO:0000303|PubMed:8955136};\n", + "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IDA:UniProtKB.\n", "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", + "DR GO; GO:0019900; F:kinase binding; IDA:UniProtKB.\n", "\n", - "13 Q9UBF8\n", + "12 Q9UBF8\n", "ID PI4KB_HUMAN Reviewed; 816 AA.\n", "DE RecName: Full=Phosphatidylinositol 4-kinase beta {ECO:0000305};\n", "DE Short=PI4K-beta;\n", @@ -3570,41 +3155,44 @@ "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", "\n", - "14 Q8NEB9\n", - "ID PK3C3_HUMAN Reviewed; 887 AA.\n", - "DE RecName: Full=Phosphatidylinositol 3-kinase catalytic subunit type 3;\n", - "DE Short=PI3-kinase type 3;\n", - "DE Short=PI3K type 3;\n", - "DE Short=PtdIns-3-kinase type 3;\n", - "DE EC=2.7.1.137 {ECO:0000269|PubMed:7628435};\n", - "DE AltName: Full=Phosphatidylinositol 3-kinase p100 subunit;\n", - "DE AltName: Full=Phosphoinositide-3-kinase class 3;\n", - "DE AltName: Full=hVps34;\n", - "DR GO; GO:0016303; F:1-phosphatidylinositol-3-kinase activity; IMP:UniProtKB.\n", + "13 O60331\n", + "ID PI51C_HUMAN Reviewed; 668 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-phosphate 5-kinase type-1 gamma {ECO:0000305|PubMed:12422219};\n", + "DE Short=PIP5K1gamma {ECO:0000305|PubMed:12422219};\n", + "DE Short=PtdIns(4)P-5-kinase 1 gamma {ECO:0000305|PubMed:12422219};\n", + "DE EC=2.7.1.68 {ECO:0000269|PubMed:12422219, ECO:0000269|PubMed:22942276};\n", + "DE AltName: Full=Type I phosphatidylinositol 4-phosphate 5-kinase gamma {ECO:0000250|UniProtKB:O70161};\n", + "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IEA:UniProtKB-EC.\n", "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "DR GO; GO:0016301; F:kinase activity; IDA:MGI.\n", - "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", "\n", - "15 Q8N8J0\n", - "ID PI4P1_HUMAN Reviewed; 262 AA.\n", - "DE RecName: Full=Putative inactive phosphatidylinositol 4-kinase alpha-like protein P1;\n", - "DR GO; GO:0004430; F:1-phosphatidylinositol 4-kinase activity; IBA:GO_Central.\n", - "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", + "14 O14986\n", + "ID PI51B_HUMAN Reviewed; 540 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-phosphate 5-kinase type-1 beta {ECO:0000305|PubMed:8955136};\n", + "DE Short=PIP5K1-beta {ECO:0000303|PubMed:8955136};\n", + "DE Short=PtdIns(4)P-5-kinase 1 beta {ECO:0000305|PubMed:8955136};\n", + "DE EC=2.7.1.68 {ECO:0000250|UniProtKB:P70181};\n", + "DE AltName: Full=Phosphatidylinositol 4-phosphate 5-kinase type I beta {ECO:0000305|PubMed:8955136};\n", + "DE Short=PIP5KIbeta {ECO:0000303|PubMed:8955136};\n", + "DE AltName: Full=Protein STM-7 {ECO:0000303|PubMed:8841185};\n", + "DE AltName: Full=Type I phosphatidylinositol 4-phosphate 5-kinase beta {ECO:0000305|PubMed:8955136};\n", + "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; ISS:UniProtKB.\n", + "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", "\n", - "16 Q99755\n", - "ID PI51A_HUMAN Reviewed; 562 AA.\n", - "DE RecName: Full=Phosphatidylinositol 4-phosphate 5-kinase type-1 alpha {ECO:0000305|PubMed:19158393};\n", - "DE Short=PIP5K1-alpha {ECO:0000303|PubMed:19158393, ECO:0000303|PubMed:8955136};\n", - "DE Short=PtdIns(4)P-5-kinase 1 alpha {ECO:0000305|PubMed:19158393};\n", - "DE EC=2.7.1.68 {ECO:0000269|PubMed:21477596, ECO:0000269|PubMed:22942276, ECO:0000269|PubMed:8955136};\n", - "DE AltName: Full=68 kDa type I phosphatidylinositol 4-phosphate 5-kinase alpha {ECO:0000303|PubMed:8955136};\n", - "DE AltName: Full=Phosphatidylinositol 4-phosphate 5-kinase type I alpha {ECO:0000305|PubMed:19158393};\n", - "DE Short=PIP5KIalpha {ECO:0000303|PubMed:19158393, ECO:0000303|PubMed:8955136};\n", - "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IDA:UniProtKB.\n", + "15 O75747\n", + "ID P3C2G_HUMAN Reviewed; 1445 AA.\n", + "DE RecName: Full=Phosphatidylinositol 4-phosphate 3-kinase C2 domain-containing subunit gamma;\n", + "DE Short=PI3K-C2-gamma;\n", + "DE Short=PtdIns-3-kinase C2 subunit gamma;\n", + "DE EC=2.7.1.154;\n", + "DE AltName: Full=Phosphoinositide 3-kinase-C2-gamma;\n", + "DR GO; GO:0016303; F:1-phosphatidylinositol-3-kinase activity; IBA:GO_Central.\n", + "DR GO; GO:0035005; F:1-phosphatidylinositol-4-phosphate 3-kinase activity; IBA:GO_Central.\n", "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", - "DR GO; GO:0019900; F:kinase binding; IDA:UniProtKB.\n", + "DR GO; GO:0035091; F:phosphatidylinositol binding; IEA:InterPro.\n", + "DR GO; GO:0052742; F:phosphatidylinositol kinase activity; IBA:GO_Central.\n", + "DR GO; GO:0016307; F:phosphatidylinositol phosphate kinase activity; NAS:UniProtKB.\n", "\n", - "17 Q9BTU6\n", + "16 Q9BTU6\n", "ID P4K2A_HUMAN Reviewed; 479 AA.\n", "DE RecName: Full=Phosphatidylinositol 4-kinase type 2-alpha;\n", "DE EC=2.7.1.67 {ECO:0000269|PubMed:11279162, ECO:0000269|PubMed:20388919, ECO:0000269|PubMed:24675427, ECO:0000269|PubMed:25168678};\n", @@ -3613,26 +3201,42 @@ "DR GO; GO:0035651; F:AP-3 adaptor complex binding; IDA:UniProtKB.\n", "DR GO; GO:0005524; F:ATP binding; IDA:UniProtKB.\n", "DR GO; GO:0000287; F:magnesium ion binding; NAS:UniProtKB.\n", + "\n", + "17 P48426\n", + "ID PI42A_HUMAN Reviewed; 406 AA.\n", + "DE RecName: Full=Phosphatidylinositol 5-phosphate 4-kinase type-2 alpha {ECO:0000305};\n", + "DE EC=2.7.1.149 {ECO:0000269|PubMed:9367159};\n", + "DE AltName: Full=1-phosphatidylinositol 5-phosphate 4-kinase 2-alpha;\n", + "DE AltName: Full=Diphosphoinositide kinase 2-alpha;\n", + "DE AltName: Full=PIP5KIII;\n", + "DE AltName: Full=Phosphatidylinositol 5-Phosphate 4-Kinase;\n", + "DE Short=PI5P4Kalpha;\n", + "DE AltName: Full=Phosphatidylinositol 5-phosphate 4-kinase type II alpha;\n", + "DE Short=PI(5)P 4-kinase type II alpha;\n", + "DE Short=PIP4KII-alpha;\n", + "DE AltName: Full=PtdIns(4)P-5-kinase B isoform;\n", + "DE AltName: Full=PtdIns(4)P-5-kinase C isoform;\n", + "DE AltName: Full=PtdIns(5)P-4-kinase isoform 2-alpha;\n", + "DR GO; GO:0016308; F:1-phosphatidylinositol-4-phosphate 5-kinase activity; IDA:UniProtKB.\n", + "DR GO; GO:0016309; F:1-phosphatidylinositol-5-phosphate 4-kinase activity; IDA:FlyBase.\n", + "DR GO; GO:0005524; F:ATP binding; IEA:UniProtKB-KW.\n", + "DR GO; GO:0042803; F:protein homodimerization activity; IDA:UniProtKB.\n", "\n" ] } ], - "source": [ - "query_uniprot_for_go(*apetals[(\"klifs\",)])" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "### Interactive Venn diagrams" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 70, - "metadata": {}, - "outputs": [], + "execution_count": 37, "source": [ "from ipywidgets import SelectMultiple, HBox, HTML, interact, fixed, Output\n", "def interactive_venn(datasets, showkey=None):\n", @@ -3661,47 +3265,59 @@ " plt.show()\n", "\n", " display(HBox([out, text], layout={\"height\": \"100%\"}))" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "code", - "execution_count": 71, - "metadata": {}, + "execution_count": 38, + "source": [ + "selection = SelectMultiple(\n", + " options=list(uniprot_ids.keys()),\n", + " value=[],\n", + " description=\"Datasets\",\n", + ")\n", + "interact(interactive_venn, datasets=fixed(uniprot_ids), showkey=selection);" + ], "outputs": [ { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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" + }, + "metadata": {} + }, + { + "output_type": "display_data", "data": { + "text/plain": [ + "HBox(children=(Output(), HTML(value='Clickable UniprotIDs will appear here when you click on one more datasets…" + ], "application/vnd.jupyter.widget-view+json": { - "model_id": "b41fd381fa644708a9a9e3f7f596a3af", "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(SelectMultiple(description='Datasets', options=('kinhub', 'klifs', 'pkinfam', 'reviewed_…" - ] + "version_minor": 0, + "model_id": "51131942ee364ed48cff3940ada45fcb" + } }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } ], - "source": [ - "selection = SelectMultiple(\n", - " options=list(uniprot_ids.keys()),\n", - " value=[],\n", - " description=\"Datasets\",\n", - ")\n", - "interact(interactive_venn, datasets=fixed(uniprot_ids), showkey=selection);" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "## Discussion" - ] + ], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "Looks like KLIFS is selecting some non-protein kinases like:\n", "\n", @@ -3710,31 +3326,73 @@ "* other proteins that bind ATP\n", "\n", "> TODO: Why?" - ] + ], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "## Generate outputs\n", "\n", "Since there'no agreement to what a kinase *is*, we will output everything already considered by the five listings we have analyzed." - ] + ], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "Let's build the final dataframe with all kinases:" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 72, - "metadata": {}, + "execution_count": 39, + "source": [ + "kinases = pd.concat(\n", + " [\n", + " kinhub[[\"HGNC Name\", \"UniprotID\"]].rename(columns={\"HGNC Name\": \"Name\"}).assign(kinhub=1), \n", + " klifs[[\"HGNC Name\", \"UniprotID\"]].rename(columns={\"HGNC Name\": \"Name\"}).assign(klifs=1), \n", + " pkinfam[[\"Name\", \"UniprotID\"]].assign(pkinfam=1), \n", + " reviewed_uniprot[[\"Entry name\", \"UniprotID\"]].rename(columns={\"Entry name\": \"Name\"}).assign(reviewed_uniprot=1),\n", + " dunbrack_msa[[\"4_Uni_entry\", \"UniprotID\"]].rename(columns={\"4_Uni_entry\": \"Name\"}).assign(dunbrack_msa=1)\n", + " ]\n", + ")\n", + "kinases" + ], "outputs": [ { + "output_type": "execute_result", "data": { + "text/plain": [ + " Name UniprotID kinhub klifs pkinfam reviewed_uniprot \\\n", + "336 AAK1 Q2M2I8 1.0 NaN NaN NaN \n", + "0 ABL1 P00519 1.0 NaN NaN NaN \n", + "24 ABL2 P42684 1.0 NaN NaN NaN \n", + "529 ABR Q12979 1.0 NaN NaN NaN \n", + "1 TNK2 Q07912 1.0 NaN NaN NaN \n", + ".. ... ... ... ... ... ... \n", + "492 TYK2_HUMAN P29597 NaN NaN NaN NaN \n", + "493 TYK2_HUMAN P29597 NaN NaN NaN NaN \n", + "494 TYRO3_HUMAN Q06418 NaN NaN NaN NaN \n", + "495 YES_HUMAN P07947 NaN NaN NaN NaN \n", + "496 ZAP70_HUMAN P43403 NaN NaN NaN NaN \n", + "\n", + " dunbrack_msa \n", + "336 NaN \n", + "0 NaN \n", + "24 NaN \n", + "529 NaN \n", + "1 NaN \n", + ".. ... \n", + "492 1.0 \n", + "493 1.0 \n", + "494 1.0 \n", + "495 1.0 \n", + "496 1.0 \n", + "\n", + "[2595 rows x 7 columns]" + ], "text/html": [ "
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activities.activity_idassays.chembl_idtarget_dictionary.chembl_idmolecule_dictionary.chembl_idmolecule_dictionary.max_phaseactivities.standard_typeactivities.standard_valueactivities.standard_unitscompound_structures.canonical_smilescompound_structures.standard_inchicomponent_sequences.sequenceassays.confidence_scoredocs.chembl_iddocs.yeardocs.authorsUniprotID
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activities.activity_idassays.chembl_idtarget_dictionary.chembl_idmolecule_dictionary.chembl_idmolecule_dictionary.max_phaseactivities.standard_typeactivities.standard_valueactivities.standard_unitscompound_structures.canonical_smilescompound_structures.standard_inchicomponent_sequences.sequenceassays.confidence_scoredocs.chembl_iddocs.yeardocs.authorsUniprotID
032260CHEMBL674637CHEMBL203CHEMBL689200IC5041.0041.0nMCc1cc(C)c(/C=C2\\C(=O)Nc3ncnc(Nc4ccc(F)c(Cl)c4)...InChI=1S/C19H15ClFN5O/c1-9-5-10(2)24-15(9)7-12...CHEMBL689200IC5016500.0016500.0nMCc1cc(C)c(/C=C2\\C(=O)Nc3ncnc(Nc4ccc(F)c(Cl)c4)...InChI=1S/C19H15ClFN5O/c1-9-5-10(2)24-15(9)7-12...CHEMBL699600IC50170.00170.0nMCc1cc(C(=O)N2CCOCC2)[nH]c1/C=C1\\C(=O)Nc2ncnc(N...InChI=1S/C23H20ClFN6O3/c1-12-8-18(23(33)31-4-6...CHEMBL696380IC50140.00140.0nMNc1ncnc2c1c(-c1cccc(Oc3ccccc3)c1)cn2C1CCCC1InChI=1S/C23H22N4O/c24-22-21-20(14-27(17-8-4-5...CHEMBL696380IC501180.001180.0nMNc1ncnc2c1c(-c1cccc(Oc3ccccc3)c1)cn2C1CCCC1InChI=1S/C23H22N4O/c24-22-21-20(14-27(17-8-4-5......
23782520129961CHEMBL4510930CHEMBL260CHEMBL3286797124309920706256CHEMBL4628249CHEMBL3384CHEMBL46389160Ki0.0027830.0nMCOc1ccc2cc(OCC3(C(=O)O)CN(C(=O)c4ccc(F)cc4)C3)...InChI=1S/C23H20FNO5/c1-29-19-8-4-17-11-20(9-5-...MSQERPTFYRQELNKTIWEVPERYQNLSPVGSGAYGSVCAAFDTKT...CCOC(=O)c1ccc2[nH]c(-c3ccncc3)nc2c1InChI=1S/C15H13N3O2/c1-2-20-15(19)11-3-4-12-13...MASDAVQSEPRSWSLLEQLGLAGADLAAPGVQQQLELERERLRREI...9CHEMBL4507298NaNSGC FrankfurtQ16539
23782620130004CHEMBL4510951CHEMBL2803CHEMBL32867971CHEMBL46272982020.0Scott F, Fala AM, Pennicott LE, Reuillon TD, M...Q16512
24310020706257CHEMBL4628249CHEMBL3384CHEMBL46342100Ki0.0018920.0nMCOc1ccc2cc(OCC3(C(=O)O)CN(C(=O)c4ccc(F)cc4)C3)...InChI=1S/C23H20FNO5/c1-29-19-8-4-17-11-20(9-5-...MPDPAAHLPFFYGSISRAEAEEHLKLAGMADGLFLLRQCLRSLGGY...N#Cc1ccc2[nH]c(-c3ccncc3)nc2c1InChI=1S/C13H8N4/c14-8-9-1-2-11-12(7-9)17-13(1...MASDAVQSEPRSWSLLEQLGLAGADLAAPGVQQQLELERERLRREI...9CHEMBL4507298NaNSGC FrankfurtP43403CHEMBL46272982020.0Scott F, Fala AM, Pennicott LE, Reuillon TD, M...Q16512
23782720143310CHEMBL4512124CHEMBL5464CHEMBL454966724310120706258CHEMBL4628249CHEMBL3384CHEMBL1600120Ki0.4353660.0nMCN1C(=O)[C@@H](N2CCc3c(nn(Cc4ccccc4)c3Br)C2=O)...InChI=1S/C23H21BrN4O3/c1-26-17-9-5-6-10-19(17)...MQPDMSLNVIKMKSSDFLESAELDSGGFGKVSLCFHRTQGLMIMKT...O=[N+]([O-])c1ccc2[nH]c(-c3ccncc3)nc2c1InChI=1S/C12H8N4O2/c17-16(18)9-1-2-10-11(7-9)1...MASDAVQSEPRSWSLLEQLGLAGADLAAPGVQQQLELERERLRREI...9CHEMBL4507326NaNSGC FrankfurtQ13546CHEMBL46272982020.0Scott F, Fala AM, Pennicott LE, Reuillon TD, M...Q16512
23782820143672CHEMBL4512124CHEMBL5464CHEMBL408821624310220706259CHEMBL4628249CHEMBL3384CHEMBL46470330Ki3.902190.0nMCN1C(=O)[C@@H](N2CCc3cn(Cc4ccccc4)nc3C2=O)COc2...InChI=1S/C23H22N4O3/c1-25-18-9-5-6-10-20(18)30...MQPDMSLNVIKMKSSDFLESAELDSGGFGKVSLCFHRTQGLMIMKT...NC(=O)c1cc(Br)cc2[nH]c(-c3ccncc3)nc12InChI=1S/C13H9BrN4O/c14-8-5-9(12(15)19)11-10(6...MASDAVQSEPRSWSLLEQLGLAGADLAAPGVQQQLELERERLRREI...9CHEMBL4507327NaNSGC FrankfurtQ13546CHEMBL46272982020.0Scott F, Fala AM, Pennicott LE, Reuillon TD, M...Q16512
23782920144034CHEMBL4512124CHEMBL5464CHEMBL409777824310320706260CHEMBL4628245CHEMBL3032CHEMBL19904820Ki6900.0040.0nMCN1C(=O)[C@@H](N2CCc3cn(CC4CCS(=O)(=O)CC4)nc3C...InChI=1S/C22H26N4O5S/c1-24-17-4-2-3-5-19(17)31...MQPDMSLNVIKMKSSDFLESAELDSGGFGKVSLCFHRTQGLMIMKT...NC(=O)c1cccc2[nH]c(-c3ccncc3)nc12InChI=1S/C13H10N4O/c14-12(18)9-2-1-3-10-11(9)1...MASNPERGEILLTELQGDSRSLPFSENVSAVQKLDFSDTMVQQKLD...9CHEMBL4507326NaNSGC FrankfurtQ13546CHEMBL46272982020.0Scott F, Fala AM, Pennicott LE, Reuillon TD, M...Q16513
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237830 rows × 16 columns

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243104 rows × 16 columns

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" - ], + ] + }, + "metadata": {}, + "execution_count": 15 + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Although units have been standardized, not all of them are $nM$." + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 16, + "source": [ + "activities[\"activities.standard_units\"].unique()" + ], + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array(['nM', 'ug.mL-1', None, 'ucm', '/uM', '/uM/s', \"10'7nM\", \"10'-3/s\",\n", + " \"10'-10L/mol\", \"10'-9L/mol\", \"10'-2/s\", '/s', \"10'-1/s\", \"10'-5/s\",\n", + " \"10'-4/s\"], dtype=object)" + ] + }, + "metadata": {}, + "execution_count": 16 + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Let's keep only those that are $nM$." + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 17, + "source": [ + "nm_activities = activities.query(\"`activities.standard_units` == 'nM'\")\n", + "nm_activities" + ], + "outputs": [ + { + "output_type": "execute_result", + "data": { "text/plain": [ " activities.activity_id assays.chembl_id target_dictionary.chembl_id \\\n", "0 32260 CHEMBL674637 CHEMBL203 \n", @@ -920,11 +1098,11 @@ "3 32330 CHEMBL842023 CHEMBL258 \n", "4 32331 CHEMBL842019 CHEMBL258 \n", "... ... ... ... \n", - "237825 20129961 CHEMBL4510930 CHEMBL260 \n", - "237826 20130004 CHEMBL4510951 CHEMBL2803 \n", - "237827 20143310 CHEMBL4512124 CHEMBL5464 \n", - "237828 20143672 CHEMBL4512124 CHEMBL5464 \n", - "237829 20144034 CHEMBL4512124 CHEMBL5464 \n", + "243099 20706256 CHEMBL4628249 CHEMBL3384 \n", + "243100 20706257 CHEMBL4628249 CHEMBL3384 \n", + "243101 20706258 CHEMBL4628249 CHEMBL3384 \n", + "243102 20706259 CHEMBL4628249 CHEMBL3384 \n", + "243103 20706260 CHEMBL4628245 CHEMBL3032 \n", "\n", " molecule_dictionary.chembl_id molecule_dictionary.max_phase \\\n", "0 CHEMBL68920 0 \n", @@ -933,24 +1111,24 @@ "3 CHEMBL69638 0 \n", "4 CHEMBL69638 0 \n", "... ... ... \n", - "237825 CHEMBL3286797 1 \n", - "237826 CHEMBL3286797 1 \n", - "237827 CHEMBL4549667 0 \n", - "237828 CHEMBL4088216 0 \n", - "237829 CHEMBL4097778 0 \n", + "243099 CHEMBL4638916 0 \n", + "243100 CHEMBL4634210 0 \n", + "243101 CHEMBL160012 0 \n", + "243102 CHEMBL4647033 0 \n", + "243103 CHEMBL1990482 0 \n", "\n", " activities.standard_type activities.standard_value \\\n", - "0 IC50 41.00 \n", - "1 IC50 16500.00 \n", - "2 IC50 170.00 \n", - "3 IC50 140.00 \n", - "4 IC50 1180.00 \n", + "0 IC50 41.0 \n", + "1 IC50 16500.0 \n", + "2 IC50 170.0 \n", + "3 IC50 140.0 \n", + "4 IC50 1180.0 \n", "... ... ... \n", - "237825 Ki 0.00 \n", - "237826 Ki 0.00 \n", - "237827 Ki 0.43 \n", - "237828 Ki 3.90 \n", - "237829 Ki 6900.00 \n", + "243099 Ki 27830.0 \n", + "243100 Ki 18920.0 \n", + "243101 Ki 53660.0 \n", + "243102 Ki 2190.0 \n", + "243103 Ki 40.0 \n", "\n", " activities.standard_units \\\n", "0 nM \n", @@ -959,11 +1137,11 @@ "3 nM \n", "4 nM \n", "... ... \n", - "237825 nM \n", - "237826 nM \n", - "237827 nM \n", - "237828 nM \n", - "237829 nM \n", + "243099 nM \n", + "243100 nM \n", + "243101 nM \n", + "243102 nM \n", + "243103 nM \n", "\n", " compound_structures.canonical_smiles \\\n", "0 Cc1cc(C)c(/C=C2\\C(=O)Nc3ncnc(Nc4ccc(F)c(Cl)c4)... \n", @@ -972,11 +1150,11 @@ "3 Nc1ncnc2c1c(-c1cccc(Oc3ccccc3)c1)cn2C1CCCC1 \n", "4 Nc1ncnc2c1c(-c1cccc(Oc3ccccc3)c1)cn2C1CCCC1 \n", "... ... \n", - "237825 COc1ccc2cc(OCC3(C(=O)O)CN(C(=O)c4ccc(F)cc4)C3)... \n", - "237826 COc1ccc2cc(OCC3(C(=O)O)CN(C(=O)c4ccc(F)cc4)C3)... \n", - "237827 CN1C(=O)[C@@H](N2CCc3c(nn(Cc4ccccc4)c3Br)C2=O)... \n", - "237828 CN1C(=O)[C@@H](N2CCc3cn(Cc4ccccc4)nc3C2=O)COc2... \n", - "237829 CN1C(=O)[C@@H](N2CCc3cn(CC4CCS(=O)(=O)CC4)nc3C... \n", + "243099 CCOC(=O)c1ccc2[nH]c(-c3ccncc3)nc2c1 \n", + "243100 N#Cc1ccc2[nH]c(-c3ccncc3)nc2c1 \n", + "243101 O=[N+]([O-])c1ccc2[nH]c(-c3ccncc3)nc2c1 \n", + "243102 NC(=O)c1cc(Br)cc2[nH]c(-c3ccncc3)nc12 \n", + "243103 NC(=O)c1cccc2[nH]c(-c3ccncc3)nc12 \n", "\n", " compound_structures.standard_inchi \\\n", "0 InChI=1S/C19H15ClFN5O/c1-9-5-10(2)24-15(9)7-12... \n", @@ -985,11 +1163,11 @@ "3 InChI=1S/C23H22N4O/c24-22-21-20(14-27(17-8-4-5... \n", "4 InChI=1S/C23H22N4O/c24-22-21-20(14-27(17-8-4-5... \n", "... ... \n", - "237825 InChI=1S/C23H20FNO5/c1-29-19-8-4-17-11-20(9-5-... \n", - "237826 InChI=1S/C23H20FNO5/c1-29-19-8-4-17-11-20(9-5-... \n", - "237827 InChI=1S/C23H21BrN4O3/c1-26-17-9-5-6-10-19(17)... \n", - "237828 InChI=1S/C23H22N4O3/c1-25-18-9-5-6-10-20(18)30... \n", - "237829 InChI=1S/C22H26N4O5S/c1-24-17-4-2-3-5-19(17)31... \n", + "243099 InChI=1S/C15H13N3O2/c1-2-20-15(19)11-3-4-12-13... \n", + "243100 InChI=1S/C13H8N4/c14-8-9-1-2-11-12(7-9)17-13(1... \n", + "243101 InChI=1S/C12H8N4O2/c17-16(18)9-1-2-10-11(7-9)1... \n", + "243102 InChI=1S/C13H9BrN4O/c14-8-5-9(12(15)19)11-10(6... \n", + "243103 InChI=1S/C13H10N4O/c14-12(18)9-2-1-3-10-11(9)1... \n", "\n", " component_sequences.sequence \\\n", "0 MRPSGTAGAALLALLAALCPASRALEEKKVCQGTSNKLTQLGTFED... \n", @@ -998,11 +1176,11 @@ "3 MGCGCSSHPEDDWMENIDVCENCHYPIVPLDGKGTLLIRNGSEVRD... \n", "4 MGCGCSSHPEDDWMENIDVCENCHYPIVPLDGKGTLLIRNGSEVRD... \n", "... ... \n", - "237825 MSQERPTFYRQELNKTIWEVPERYQNLSPVGSGAYGSVCAAFDTKT... \n", - "237826 MPDPAAHLPFFYGSISRAEAEEHLKLAGMADGLFLLRQCLRSLGGY... \n", - "237827 MQPDMSLNVIKMKSSDFLESAELDSGGFGKVSLCFHRTQGLMIMKT... \n", - "237828 MQPDMSLNVIKMKSSDFLESAELDSGGFGKVSLCFHRTQGLMIMKT... \n", - "237829 MQPDMSLNVIKMKSSDFLESAELDSGGFGKVSLCFHRTQGLMIMKT... \n", + "243099 MASDAVQSEPRSWSLLEQLGLAGADLAAPGVQQQLELERERLRREI... \n", + "243100 MASDAVQSEPRSWSLLEQLGLAGADLAAPGVQQQLELERERLRREI... \n", + "243101 MASDAVQSEPRSWSLLEQLGLAGADLAAPGVQQQLELERERLRREI... \n", + "243102 MASDAVQSEPRSWSLLEQLGLAGADLAAPGVQQQLELERERLRREI... \n", + "243103 MASNPERGEILLTELQGDSRSLPFSENVSAVQKLDFSDTMVQQKLD... \n", "\n", " assays.confidence_score docs.chembl_id docs.year \\\n", "0 8 CHEMBL1134862 2002.0 \n", @@ -1011,11 +1189,11 @@ "3 9 CHEMBL1132739 2000.0 \n", "4 9 CHEMBL1132739 2000.0 \n", "... ... ... ... \n", - "237825 9 CHEMBL4507298 NaN \n", - "237826 9 CHEMBL4507298 NaN \n", - "237827 9 CHEMBL4507326 NaN \n", - "237828 9 CHEMBL4507327 NaN \n", - "237829 9 CHEMBL4507326 NaN \n", + "243099 9 CHEMBL4627298 2020.0 \n", + "243100 9 CHEMBL4627298 2020.0 \n", + "243101 9 CHEMBL4627298 2020.0 \n", + "243102 9 CHEMBL4627298 2020.0 \n", + "243103 9 CHEMBL4627298 2020.0 \n", "\n", " docs.authors UniprotID \n", "0 Sun L, Cui J, Liang C, Zhou Y, Nematalla A, Wa... P00533 \n", @@ -1024,68 +1202,14 @@ "3 Arnold LD, Calderwood DJ, Dixon RW, Johnston D... P06239 \n", "4 Arnold LD, Calderwood DJ, Dixon RW, Johnston D... P06239 \n", "... ... ... \n", - "237825 SGC Frankfurt Q16539 \n", - "237826 SGC Frankfurt P43403 \n", - "237827 SGC Frankfurt Q13546 \n", - "237828 SGC Frankfurt Q13546 \n", - "237829 SGC Frankfurt Q13546 \n", + "243099 Scott F, Fala AM, Pennicott LE, Reuillon TD, M... Q16512 \n", + "243100 Scott F, Fala AM, Pennicott LE, Reuillon TD, M... Q16512 \n", + "243101 Scott F, Fala AM, Pennicott LE, Reuillon TD, M... Q16512 \n", + "243102 Scott F, Fala AM, Pennicott LE, Reuillon TD, M... Q16512 \n", + "243103 Scott F, Fala AM, Pennicott LE, Reuillon TD, M... Q16513 \n", "\n", - "[237830 rows x 16 columns]" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "activities = pd.merge(activities_sql, kinases_sp[[\"chembl_targets\", \"UniprotID\"]], left_on=\"target_dictionary.chembl_id\", right_on=\"chembl_targets\", how=\"left\").drop(columns=[\"chembl_targets\"])\n", - "activities" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Although units have been standardized, not all of them are $nM$." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array(['nM', 'ug.mL-1', None, 'ucm', '/uM', '/uM/s', \"10'7nM\", \"10'-3/s\",\n", - " \"10'-10L/mol\", \"10'-9L/mol\", \"10'-2/s\", '/s', \"10'-1/s\", \"10'-5/s\",\n", - " \"10'-4/s\"], dtype=object)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "activities[\"activities.standard_units\"].unique()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's keep only those that are $nM$." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { + "[242609 rows x 16 columns]" + ], "text/html": [ "
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" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], - "source": [ - "from matplotlib import pyplot as plt\n", - "\n", - "fig, ax = plt.subplots()\n", - "ax.plot(range(1, len(curated) + 1), [df.shape[0] for df in curated])\n", - "ax.set_xlabel(\"Curation steps\")\n", - "ax.set_ylabel(\"# data points\")\n", - "ax.set_ylim(0, 250000);" - ] + "metadata": {} }, { "cell_type": "code", - "execution_count": 36, - "metadata": {}, + "execution_count": 39, + "source": [ + "final[\"activities.standard_value\"].plot.hist(title=\"Distribution of p-activity values\", xlabel=\"pMeasurement\");" + ], "outputs": [ { + "output_type": "display_data", "data": { - "image/png": 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" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], - "source": [ - "final[\"activities.standard_value\"].plot.hist(title=\"Distribution of p-activity values\", xlabel=\"pMeasurement\");" - ] + "metadata": {} }, { "cell_type": "code", - "execution_count": 37, - "metadata": {}, + "execution_count": 40, + "source": [ + "display(final[\"assays.confidence_score\"].value_counts())\n", + "final[\"assays.confidence_score\"].plot.hist(title=\"Distribution of confidence scores\");" + ], "outputs": [ { + "output_type": "display_data", "data": { "text/plain": [ - "9 109583\n", - "8 77389\n", + "9 113863\n", + "8 76771\n", "Name: assays.confidence_score, dtype: int64" ] }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} }, { + "output_type": "display_data", "data": { - "image/png": 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" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], - "source": [ - "display(final[\"assays.confidence_score\"].value_counts())\n", - "final[\"assays.confidence_score\"].plot.hist(title=\"Distribution of confidence scores\");" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "Distribution of document ids:" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 38, - "metadata": {}, + "execution_count": 41, + "source": [ + "doc_counts = final[\"docs.chembl_id\"].value_counts()\n", + "display(doc_counts[:10])\n", + "doc_counts[:30].plot.bar();" + ], "outputs": [ { + "output_type": "display_data", "data": { "text/plain": [ - "CHEMBL1908390 5761\n", + "CHEMBL1908390 5301\n", + "CHEMBL3991601 3347\n", "CHEMBL3879910 3316\n", - "CHEMBL1240340 2243\n", + "CHEMBL1240340 2238\n", "CHEMBL3886441 1511\n", "CHEMBL3639326 1502\n", - "CHEMBL1150977 1271\n", "CHEMBL3886705 1227\n", "CHEMBL3638592 1148\n", - "CHEMBL3638646 1104\n", - "CHEMBL3638802 998\n", + "CHEMBL1150977 1117\n", + "CHEMBL3638646 1103\n", "Name: docs.chembl_id, dtype: int64" ] }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} }, { + "output_type": "display_data", "data": { - "image/png": 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" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], - "source": [ - "doc_counts = final[\"docs.chembl_id\"].value_counts()\n", - "display(doc_counts[:10])\n", - "doc_counts[:30].plot.bar();" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "Distribution of clinical phases:" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 39, - "metadata": {}, + "execution_count": 42, + "source": [ + "phase_counts = final[\"molecule_dictionary.max_phase\"].value_counts()\n", + "display(phase_counts[:10])\n", + "phase_counts[:30].plot.bar();" + ], "outputs": [ { + "output_type": "display_data", "data": { "text/plain": [ - "0 178838\n", - "4 3262\n", - "2 2211\n", - "3 1631\n", - "1 1030\n", + "0 180454\n", + "4 3467\n", + "2 2978\n", + "1 1929\n", + "3 1806\n", "Name: molecule_dictionary.max_phase, dtype: int64" ] }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} }, { + "output_type": "display_data", "data": { - "image/png": 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" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], - "source": [ - "phase_counts = final[\"molecule_dictionary.max_phase\"].value_counts()\n", - "display(phase_counts[:10])\n", - "phase_counts[:30].plot.bar();" - ] + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "Distribution of measurements per kinase:" - ] + ], + "metadata": {} }, { "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [], + "execution_count": 43, "source": [ "counts_per_target = final.groupby(\"target_dictionary.chembl_id\").size().sort_values(ascending=False)" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [], + "execution_count": 44, "source": [ "from IPython.display import Markdown" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "code", - "execution_count": 42, - "metadata": {}, + "execution_count": 45, + "source": [ + "md = [\"| Target | Count |\", \n", + " \"|--------|-------|\"]\n", + "for k, v in counts_per_target.head(20).iteritems():\n", + " md.append(f\"| [{k}](https://www.ebi.ac.uk/chembl/target_report_card/{k}/) | {v} |\")\n", + "display(Markdown(\"\\n\".join(md)))" + ], "outputs": [ { + "output_type": "display_data", "data": { + "text/plain": [ + "" + ], "text/markdown": [ "| Target | Count |\n", "|--------|-------|\n", - "| [CHEMBL279](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL279/) | 8039 |\n", - "| [CHEMBL203](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL203/) | 6396 |\n", - "| [CHEMBL4005](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL4005/) | 5428 |\n", - "| [CHEMBL2971](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2971/) | 5268 |\n", - "| [CHEMBL2835](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2835/) | 4160 |\n", - "| [CHEMBL2842](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2842/) | 4119 |\n", - "| [CHEMBL260](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL260/) | 3953 |\n", - "| [CHEMBL2147](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2147/) | 3911 |\n", - "| [CHEMBL5145](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL5145/) | 3892 |\n", - "| [CHEMBL267](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL267/) | 3242 |\n", - "| [CHEMBL3717](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL3717/) | 3190 |\n", - "| [CHEMBL2599](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2599/) | 3182 |\n", - "| [CHEMBL1163125](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL1163125/) | 3136 |\n", - "| [CHEMBL4040](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL4040/) | 3021 |\n", - "| [CHEMBL4282](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL4282/) | 3008 |\n", - "| [CHEMBL2148](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2148/) | 2954 |\n", - "| [CHEMBL3130](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL3130/) | 2768 |\n", - "| [CHEMBL2815](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2815/) | 2743 |\n", - "| [CHEMBL4722](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL4722/) | 2717 |\n", - "| [CHEMBL262](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL262/) | 2503 |" - ], - "text/plain": [ - "" + "| [CHEMBL279](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL279/) | 8068 |\n", + "| [CHEMBL203](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL203/) | 6509 |\n", + "| [CHEMBL4005](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL4005/) | 5473 |\n", + "| [CHEMBL2971](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2971/) | 5366 |\n", + "| [CHEMBL2835](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2835/) | 4242 |\n", + "| [CHEMBL2842](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2842/) | 4115 |\n", + "| [CHEMBL260](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL260/) | 3997 |\n", + "| [CHEMBL2147](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2147/) | 3913 |\n", + "| [CHEMBL5145](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL5145/) | 3906 |\n", + "| [CHEMBL1163125](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL1163125/) | 3308 |\n", + "| [CHEMBL267](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL267/) | 3256 |\n", + "| [CHEMBL2599](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2599/) | 3222 |\n", + "| [CHEMBL3717](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL3717/) | 3220 |\n", + "| [CHEMBL2148](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2148/) | 3060 |\n", + "| [CHEMBL4040](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL4040/) | 3020 |\n", + "| [CHEMBL4282](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL4282/) | 3013 |\n", + "| [CHEMBL3130](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL3130/) | 2810 |\n", + "| [CHEMBL2815](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL2815/) | 2749 |\n", + "| [CHEMBL4722](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL4722/) | 2739 |\n", + "| [CHEMBL262](https://www.ebi.ac.uk/chembl/target_report_card/CHEMBL262/) | 2574 |" ] }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } ], - "source": [ - "md = [\"| Target | Count |\", \n", - " \"|--------|-------|\"]\n", - "for k, v in counts_per_target.head(20).iteritems():\n", - " md.append(f\"| [{k}](https://www.ebi.ac.uk/chembl/target_report_card/{k}/) | {v} |\")\n", - "display(Markdown(\"\\n\".join(md)))" - ] + "metadata": {} }, { "cell_type": "code", - "execution_count": 43, - "metadata": {}, + "execution_count": 46, + "source": [ + "counts_per_target.plot.bar()" + ], "outputs": [ { + "output_type": "execute_result", "data": { "text/plain": [ "" ] }, - "execution_count": 43, "metadata": {}, - "output_type": "execute_result" + "execution_count": 46 }, { + "output_type": "display_data", "data": { - "image/png": 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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}, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], - "source": [ - "counts_per_target.plot.bar()" - ] + "metadata": {} }, { "cell_type": "code", - "execution_count": 44, - "metadata": {}, + "execution_count": 47, + "source": [ + "counts_per_target_and_measurement = pd.DataFrame(final.groupby([\"target_dictionary.chembl_id\", \"activities.standard_type\"]).size(), columns=[\"Count\"])\n", + "counts_per_target_and_measurement" + ], "outputs": [ { + "output_type": "execute_result", "data": { + "text/plain": [ + " Count\n", + "target_dictionary.chembl_id activities.standard_type \n", + "CHEMBL1075102 pIC50 18\n", + "CHEMBL1075104 pIC50 1075\n", + " pKd 22\n", + " pKi 604\n", + "CHEMBL1075115 pIC50 3\n", + "... ...\n", + "CHEMBL6167 pIC50 266\n", + " pKd 36\n", + "CHEMBL6186 pIC50 2\n", + " pKd 16\n", + "CHEMBL6191 pKd 59\n", + "\n", + "[1005 rows x 1 columns]" + ], "text/html": [ "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], - "source": [ - "counts_per_target_and_measurement.sort_values(by=\"Count\", ascending=False).plot.bar()" - ] + "metadata": {} } ], "metadata": { "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" + "name": "python3", + "display_name": "Python 3.9.6 64-bit ('kinoml': conda)" }, "language_info": { "codemirror_mode": { @@ -2734,7 +2740,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.8" + "version": "3.9.6" }, "toc-autonumbering": true, "toc-showcode": false, @@ -2746,8 +2752,11 @@ "version_major": 2, "version_minor": 0 } + }, + "interpreter": { + "hash": "0300e5a8eaa00f483f78a74a63703ce4e5f45ef77276e605540748ee734ff974" } }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file diff --git a/kinases-in-chembl/kinases_in_chembl.ipynb b/kinases-in-chembl/kinases_in_chembl.ipynb index 4ac780c..ddaa05d 100644 --- a/kinases-in-chembl/kinases_in_chembl.ipynb +++ b/kinases-in-chembl/kinases_in_chembl.ipynb @@ -2,14 +2,13 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, "source": [ "# Find UniProt IDs in ChEMBL targets" - ] + ], + "metadata": {} }, { "cell_type": "markdown", - "metadata": {}, "source": [ "Ultimately, we are interested in getting [activity data from ChEMBl](/chembl-27/query_local_chembl-27.ipynb) we need to account for three components:\n", "\n", @@ -20,47 +19,82 @@ "So, to find all activity data stored in ChEMBL that refers to kinases, we have to query for those assays annotated with a certain target.\n", "\n", "Each of those three components have a unique ChEMBL ID, but so far we only have obtained Uniprot IDs in the `human-kinases` notebook. We need a way to connect Uniprot IDs to ChEMBL target IDs. Fortunately, ChEMBL maintains such a map in their FTP releases. We will parse that file and convert it into a dataframe for easy manipulation." - ] + ], + "metadata": {} }, { "cell_type": "code", "execution_count": 1, - "metadata": {}, - "outputs": [], "source": [ "from pathlib import Path\n", "import urllib.request\n", "\n", "import pandas as pd" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "code", "execution_count": 2, - "metadata": {}, - "outputs": [], "source": [ "REPO = (Path(_dh[-1]) / \"..\").resolve()\n", "DATA = REPO / 'data'" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "code", "execution_count": 3, - "metadata": {}, - "outputs": [], "source": [ - "CHEMBL_VERSION = 28\n", + "CHEMBL_VERSION = 29\n", "url = fr\"ftp://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBLdb/releases/chembl_{CHEMBL_VERSION}/chembl_uniprot_mapping.txt\"" - ] + ], + "outputs": [], + "metadata": {} }, { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "source": [ + "with urllib.request.urlopen(url) as response:\n", + " uniprot_map = pd.read_csv(response, sep=\"\\t\", skiprows=[0], names=[\"UniprotID\", \"chembl_targets\", \"description\", \"type\"])\n", + "uniprot_map" + ], "outputs": [ { + "output_type": "execute_result", "data": { + "text/plain": [ + " UniprotID chembl_targets \\\n", + "0 P21266 CHEMBL2242 \n", + "1 O00519 CHEMBL2243 \n", + "2 P19217 CHEMBL2244 \n", + "3 P97292 CHEMBL2245 \n", + "4 P17342 CHEMBL2247 \n", + "... ... ... \n", + "13150 A0A0J5PZ55 CHEMBL4630893 \n", + "13151 Q8NI17 CHEMBL4630894 \n", + "13152 P43630 CHEMBL4630895 \n", + "13153 A0A0H3HP34 CHEMBL4630896 \n", + "13154 P28887 CHEMBL4630897 \n", + "\n", + " description type \n", + "0 Glutathione S-transferase Mu 3 SINGLE PROTEIN \n", + "1 Anandamide amidohydrolase SINGLE PROTEIN \n", + "2 Estrogen sulfotransferase SINGLE PROTEIN \n", + "3 Histamine H2 receptor SINGLE PROTEIN \n", + "4 Atrial natriuretic peptide receptor C SINGLE PROTEIN \n", + "... ... ... \n", + "13150 Dihydroorotate dehydrogenase (quinone), mitoch... SINGLE PROTEIN \n", + "13151 Interleukin-31 receptor subunit alpha SINGLE PROTEIN \n", + "13152 Killer cell immunoglobulin-like receptor 3DL2 SINGLE PROTEIN \n", + "13153 Enoyl-[acyl-carrier-protein] reductase [NADH] SINGLE PROTEIN \n", + "13154 RNA-directed RNA polymerase L SINGLE PROTEIN \n", + "\n", + "[13155 rows x 4 columns]" + ], "text/html": [ "
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