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A valence fit to existing small molecule and protein data, experimenting with torsion priors to allow larger changes from the initial parameters.

Excerpt

A valence fit to existing QM small molecule + protein data with looser torsion priors.

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Summary

One reason our protein force field candidates may not approach the performance of AMBER force fields may be because we are getting stuck in a nearby local minimum. Loosening torsion priors may help us move away from this minimum. Torsion priors have not yet been updated in this investigation so far. This is related to the different optimization algorithms approach.

GitHub repo/branch

Github link macro
linkhttps://github.com/ntBre/protein-param-fit/tree/sage-2.1
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Not started

Stage

Milestone/Benchmark

Contributors

Deadline

Status

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Fit Sage from small molecule and protein data with looser torsion priors

Starting from an up-to-date version of the protein-param-fit FF (

Github link macro
linkhttps://github.com/ntBre/protein-param-fit/tree/sage-2.1
), run a re-fit with the same data but decreasing the torsion priors but a factor of 10

Dec 01

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titleIn progress

Small molecule benchmarks

Run small molecule QM benchmarks

Benchmark

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Completed

Passed
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Failed
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Protein stability benchmarks

Run GB3 benchmarks. Can likely decide whether to progress based on performance over 5 us

 

 

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Helix folding benchmark

Run helix folding benchmark

 

 

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Smaller peptide benchmarks

Smaller peptide NMR scalar coupling benchmarks

 

 

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📊 Progress and findings

Curated data (or similar title)

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