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Add documentation for using Rosetta with QM packages #48

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@vmullig vmullig commented Nov 17, 2021

This complements pull request RosettaCommons/main#5662.

Tasks:

  • Summary : rosetta_basics/scoring/qm-energy-calculations.md
  • Important considerations
    • Molecular system size, rosetta_basics/scoring/qm-energy-calculations.md
    • level of theory, and rosetta_basics/scoring/qm-energy-calculations.md
    • computation time rosetta_basics/scoring/qm-energy-calculations.md
    • Computer memory rosetta_basics/scoring/qm-energy-calculations.md
    • CPU usage (especially in multi-threaded or multi-process contexts) rosetta_basics/scoring/qm-energy-calculations.md
    • Disk usage rosetta_basics/scoring/qm-energy-calculations.md
  • Supported third-party quantum chemistry software packages rosetta_basics/scoring/qm-energy-calculations.md
    • GAMESS
      • Installation and setup rosetta_basics/scoring/qm-energy-calculations.md
      • Using GAMESS with Rosetta rosetta_basics/scoring/qm-energy-calculations.md
        • Point energy calculation rosetta_basics/scoring/RosettaQM/GAMESS/GAMESSPointEnergyTutorial1.md
        • Geometry optimization : scripting_documentation/RosettaScripts/multistage/GeometryOptimizationRosettaQM.md
        • Transition states
      • Rosetta-GAMESS bridge code organization
    • Psi4
    • Orca
    • NWChem
  • Scoring with GAMESS rosetta_basics/scoring/RosettaQM/GAMESS/GamessSinglePointEnergyCalculation.md
    • Configured from commandline.
    • Configured from RosettaScripts XML.
    • Configured from weights file.
    • Configured from C++ or PyRosetta.
    • Geometry optimization option (and how it differs from GamessQMGeometryOptimizationMover).
    • Fragment molecular orbitals (FMO).
    • Density functional tight-binding (DFTB) semi-empirical method.
      • With FMO
    • Dealing with solvation.
    • Controlling verbosity.
  • Geometry optimization with the GamessQMGeometryOptimizationMover
    • Configured from commandline.
    • Configured from RosettaScripts XML.
    • Configured from weights file.
    • Configured from C++ or PyRosetta.
  • Constraints.
  • Electrostatic Embedding

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3 participants