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Torsional Diffusion for Molecular Conformer Generation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| diffuse only over torsion angles (torsional diffusion) instead of Euclidean diffusion (GeoDiff) | conformer generator · GEOM-DRUGS | recall AMR median: 0.809 -> 0.565 | Helped |
| diffuse over torsion angles instead of Euclidean, precision | conformer generator · GEOM-DRUGS | precision AMR median: 1.090 -> 0.729 | Helped |
| torsional diffusion vs OMEGA commercial software | conformer generator · GEOM-DRUGS | recall coverage mean: 53.4 -> 72.7 | Helped |
| increase denoising steps from 5 to 20 (ablation) | Torsional Diffusion · GEOM-DRUGS | recall AMR median: 0.685 -> 0.565 | Helped |
| increase denoising steps from 10 to 20 (ablation) | Torsional Diffusion · GEOM-DRUGS | recall AMR median: 0.580 -> 0.565 | No clear effect |
| use 20 steps instead of 5000 steps of GeoDiff | Torsional Diffusion · GEOM-DRUGS | runtime (core-secs per conformer): 305 -> 4.90 | Helped |
| torsional diffusion vs RDKit on runtime | Torsional Diffusion · GEOM-DRUGS | runtime: 0.10 -> 4.90 | Hurt |
| torsional diffusion vs baselines on dipole moment | Torsional Diffusion · ensemble properties | median error dipole: 0.34 (GeoMol) vs 0.35 | No clear effect |
| torsional diffusion for ensemble energy and minimum energy | Torsional Diffusion · ensemble properties | median error energy E (kcal/mol): 0.31 (GeoDiff) -> 0.22 | Helped |
| torsional Boltzmann generator vs annealed importance sampling | Torsional BG · Boltzmann sampling ESS | effective sample size at 1000K: 6.72 (AIS 100 steps) -> 11.42 | Helped |
| increase torsional BG steps from 5 to 20 at test time (trained with 5-step resampler) (ablation) | Torsional BG · Boltzmann sampling ESS | effective sample size at 1000K: 7.28 -> 11.42 | Helped |
| train on ground-truth local structures instead of conformer matching (ablation) | Torsional Diffusion · GEOM-DRUGS | RMSD | Hurt |
Closest papers by meaning
- DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization (AAAI 2024 · similarity 0.89)
- Swallowing the Bitter Pill: Simplified Scalable Conformer Generation (ICML 2024 · similarity 0.88)
- Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation (NeurIPS 2024 · similarity 0.87)
- Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining (AAAI 2025 · similarity 0.87)
- Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow (ICML 2025 · similarity 0.86)
- Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time (NeurIPS 2025 · similarity 0.86)
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