Page Comparison

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25 Nov 2020

Participants

• David Dotson

• David Hahn

• Joshua Horton

• Jeffrey Wagner

Goals

• Updates from project team members:

• Identify and address development issues encountered

• Identify and address project risks

Discussion topics

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Time

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Presenter

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Item	Notes
Progress Updates	JW: update on ingestion components this is the first thing user input hits, so we want to make sure we’re careful about what we accept details on this PR: Github link macro link https://github.com/openforcefield/openff-benchmark/pull/16 this PR Is ready for review; following this, will be working on conformer generation/filling in early next week, since that’s needed to line up for compute input testing Also committed to the coverage report, but that’s a side-spur of the workflow DD: I will review, and push to merge! JW: perhaps have a testing party next week DD: Update on compute component Separating workflow into “Seasons”, where we may want to change the methods that we’re benchmarking Using CLI Openeye loading warning is annoying JH – logging.disable(logging.WARNING) Showed demo of submitting molecule Working on pulling the data out JW: What all openff versions will we be using? How should we handle different coverage reports? DD – JW will work on this, so use your intuition JH: keeping up with what everyone is doing, synthesizing this into the deployment procedure doc DH: Kicked off discussion on Slack for if we want QM-then-MM vs. QM-and-MM ; not a clear answer yet on what’s preferred Would need intermediates to be stored if we do the then approach DD: the QM final molecules exported could be understood by downstream tools to be the starting points for the MM optimizations JW: Gary’s preference? GT: Would prefer precedence, consistency with what is already published. that said, if we want to show that MM can reproduce the same result, that has value probably start with what has been done, though DD: can design to the QM-then-MM approach protocol; the approaches can still support the and approach at a later time GT: think it’s important to at least do apples-to-apples with the paper; the other protocol is still interesting, but better for now to approach with the same protocol DH: the and protocol would also present problems for the analysis approach, since it depends on the then comparison JW: how much care is put in to ensure we don’t get duplicates? what cutoff should I use for conformers? DH: DM recommended that you start with a high threshold and then drop it iteratively. It won’t break downstream analysis to have less than 10 conformers DH: a bit stuck at the moment; need inputs to work with JW: DD and I can sprint to get the components needed for downstream today Coverage report: focus on needed data being present first; pretty or human-readable can come after; could be a JSON blob
Common infrastructure	JW: utils.py? cli.py? JW: Common dataset loader? JW: Common OpenEye unloader? JW: Automated testing?

Action items

Decisions