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Participants

Goals

  • Update on project management

    • Formal decision-making process

    • Add Michael Shirts as an approver

  • Plans for protein FF benchmark

    • Small molecules

    • Proteins

Discussion topics

Item

Presenter

Notes

Project management

  • Formal decision-making process

    • Decisions must be made in this meeting

    • Changes to project plan require unanimous consent of project driver and all approvers. Absences are vetos.

  • Add Michael Shirts as an approver

Review of fitting strategy

Chapin Cavender

  • Charges

    • ELF-10

    • Library charges for water (TIP3P) and 26 canonical amino acids (AM1BCC-ELF10)

  • Lennard-Jones

    • Copy from Sage

  • Valence and torsions

    • Fit Sage types (null model) or new protein-specific torsions

    • Target Sage QC training dataset and new QC datasets

      • Optimization dataset for capped 1-mers

      • TorsionDrives on (phi, psi) and (chi1, chi2) for capped 1-mers

    • Fit torsions/valence simultaneously or sequentially

Protein FF benchmark

Chapin Cavender

  • Validation dataset

    • Used to choose between models (null vs protein-specific torsions)

    • Beauchamp/Pande dataset

      • 32 small peptides (2 to 5 residues)

      • Chemical shifts and scalar couplings

      • 500 ns trajectories

  • Sage benchmarks

    • QC test dataset

    • Physical property test dataset - solvation and transfer free energies

  • Test dataset

    • Used to demonstrate model performance

    • Continuous trajectories in triplicate

    • Prioritize diversity of protein systems or diversity of force fields tested?

    • Force fields and water models

      • Need

        • OpenFF/TIP3P

        • Amber ff14SB/TIP3P

      • Want

        • Amber ff19SB/OPC

        • CHARMM36m/TIP3P

        • a99SB-disp/TIP4P-D

        • OpenFF/OPC

    • Need: Robustelli/Shaw a99SB-disp dataset

      • 4 folded proteins (largest 120 residues)

        • Scalar couplings

        • 10 μs trajectories

      • 10 disordered proteins (largest 140 residues)

        • Chemical shifts and scalar couplings

        • 30 μs trajectories

    • Want: Mao/Montelione dataset

      • 41 folded proteins

      • Chemical shifts and NOEs

      • 10 μs trajectories

    • Aggregate sampling

      • Need: 700 μs

      • Need + protein want: 1.5 ms

      • Need + FF want: 2 ms

      • Need + protein want + FF want: 4.5 ms

Action items

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Decisions

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