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TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search

NeurIPS 2020 · Probabilistic and scientific modeling › Molecules and proteins · approach: Diffusion for molecular conformations · 8 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use TorsionNet instead of RDKitconformer generation · 11 torsion alkaneGibbs Score: 1.05 -> 1.72Helped
use TorsionNet instead of RDKit on out-of-distribution larger moleculeconformer generation · 22 torsion alkaneGibbs Score: 1.22 -> 4.75Helped
use TorsionNet instead of Confabconformer generation · 11 torsion alkaneGibbs Score: 0.14 -> 1.72Helped
use TorsionNet instead of Confabconformer generation · 22 torsion alkaneGibbs Score: $\leq10^{-4}$ -> 4.75Helped
use TorsionNet instead of Confabconformer generation · 11 torsion alkaneWall Time (s): 8.87 -> 13.35Hurt
use TorsionNet instead of RDKitconformer generation · 22 torsion alkaneWall Time (s): 68.72 -> 35.23Helped
use TorsionNet instead of RDKitconformer generation · 11 torsion alkaneWall Time (s): 14.52 -> 13.35Helped
use TorsionNet instead of Confabconformer generation · 8-ligninGibbs Score: $\leq10^{-4}$ -> 0.60Helped
use TorsionNet instead of enhanced MD (SGMD)conformer generation · 8-ligninCPU Time (h): 277.59 -> 0.35Helped
use TorsionNet instead of enhanced MD (SGMD)conformer generation · 8-ligninGibbs Score: 1.00 -> 0.60Hurt
use log Gibbs score reward instead of raw Gibbs scoreTorsionNet · lignin environmenttraining stabilityHelped
train sequentially with curriculum and direct parameter transfer on T-Branched AlkanesTorsionNet · T-Branched Alkanesenergy distance to best conformerHelped

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