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Notes

General updates

  • CD – Last meeting, we decided to push forward with ELF1 conformer generation.

  • CD – Today I’m going to talk about differences I found in charge assignment with both toolkits when running with no optimization on MiniDrugBank.

Differences in charge assignment

  • CD – We need to ensure that, when we plug the same conformer into the partial charge generation methods, we get the same partial charges out.

  • OM – What are the possible root causes?

    • Difference in AM1 implementation

    • Difference in BCCs are applied

    • Difference in chemical perception

    • CD – Can OE return just AM1-Mulliken charges?

      • LW – Yes: openeye: oequacpac.OEAM1Charges

  • CD – Computing power issue – Analyzing 90 molecules took my computer 12 horus

    • OM – Do you have access to CU summit? Let’s get you on that.

  • What do the bad molecules have in common?

    • About half have sulfonamides

    • About two thirds have sulfonyl (O=S=O)

    • All but one have indoles (many with additional Ns)

    • OM – We could use checkmol to list the functional groups that occur in the problematic parts of this dataset. SB made a python wrapper for it.

  • How prevalent is this issue?

    • CD – about 9 out of 84 molecules I’ve tested so far. Minidrugbank has 350 molecules total, but I’ve only had time to test the first 84.

Next steps

  • Why does the data range end at exactly -1.0? Is something getting filtered out by the workflow? Maybe try putting cyanate in (C#N-)

  • CD will make a minimal reproducing example

    • CD will send SMILES of good and bad mols to OM

  • CD will try running just AM1 optimizations to see which deviations persist (if the parallel offset lines disappear, it’s a BCC issue)

  • CD will turn off symmetrization to see if the vertical lines disappear.

  • JW will look into whether substituted indoles (indoles with extra Ns) are known cases of disagreement between aromaticity models/chemical representations.

Action items

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Decisions