2025-08-26 FF Fitting Meeting

2025-08-26 FF Fitting Meeting

  1. @Lily Wang

  2. @Chapin Cavender

  3. @David Mobley

  4. @Jennifer Clark

  5. @Jeffrey Wagner

  6.  

Discussion topics

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Notes

Notes

2.3.0rc2 fitting update

  • (Slide 3) CC - What are these changes relative to?

    • LW - Relative to Sage 2.2, which has the same vdW as Sage 2.0

  • DM - What is ENA in the SMIRKS?

    • LW - Shorthand for electronegative groups

  • (Slide 8) JW - So all refits with AshGC are better than Sage 2.2.1 in 0-bin ddE, although CDF is hard to see

    • LW - Agreed. I’ve also changed how I calculate ddE to use Bill Swope’s method of matching MM optimized conformers to QM conformers.

  • (Slide 9) JW - What region of the left plot (heavy atom RMSD) do we care about? I think we don’t care about RMSD < 0.3 Å, and we care a lot about RMSD > 0.6 Å.

    • DM – Worried that the high RMSD region is dominated by things that minimize to somewhere entirely different.

    • LW – Kinda agree. And 0.3 Å RMSD captures cases like planar rings that MM models as buckled. So that’s where I spend a lot of time looking.

    • JW - Re: DM’s point, isn’t minimizing to a different conformer exactly what we want to avoid?

    • DM – But you’re starting an optimization somewhere, and a slight difference in gradients between QM and MM could walk things away to different minima

    • JW - But these optimizations are started from QM minima, so I wouldn’t expect that to happen

    • DM – Big tail has two sorts of things:

      • Taking a good geometry and walking far away from it due to problems with MM landscape

      • The MM optimization fails to see it is in one minimum, but goes to a different valid QM minimum.

    • LW - We do see examples of electrostatic collapse – one example I looked at had RMSD > 10 Å, so those conformers aren’t even on this plot

    • JW – Agree that these are problems with MM FFs. But if I had to make an algorithm to look at this plot and determine which FF is “best” I’d look at the order of curves at x=0.8 or so.

    • DM –

    • LW – Given that we have multiple sets of minima, I could check to see whether the ones with high RMSD are just finding another minimum.

    • DM – Could look at AUC as a useful metric

  • CC – Release threshold is noninferiority to 2.2.1?

    • LW – Yes, aiming to not be worse than 2.2.1. Beyond that we’d release the best of the candidates we’re considering (and 2.2.1+NAGL is one of the better ones)

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Action items

Decisions