Pocket Design on Binding MOAD 40k complexes (test)
-9.37Vina ScorePocketFlow
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PocketFlow2024.09 | -9.37 | 54.3 | — | 0.68 | |
| PocketFlowAblation=w/o Geo Guide2024.09 | -9.197 | 53.49 | — | 0.71 | |
| PocketFlowAblation=w/o Inter Learning2024.09 | -9.031 | 52.25 | — | 0.68 | |
| PocketFlowAblation=w/o Aff Guide2024.09 | -8.38 | 51.43 | — | 0.64 | |
| PocketFlowAblation=w/o Geo & Aff Guide2024.09 | -8.241 | 49.71 | — | 0.69 | |
| Test set2024.09 | -8.076 | — | — | 0.67 | |
| RFDiffusionAA2024.09 | -8.02 | 49.09 | — | 0.7 | |
| FAIRapproach=deep-learning2023.10 | -7.978 | 43.75 | 1.35 | — | |
| FAIR2024.09 | -7.93 | 43.68 | — | 0.72 | |
| PocketOptimizerapproach=energy-based2023.10 | -7.829 | 28.78 | 1.68 | — | |
| Diffusionapproach=deep-learning, side-chain packing=Rosetta2023.10 | -7.724 | 36.94 | 1.47 | — | |
| dyMEAN2024.09 | -7.675 | 41.22 | — | 0.8 | |
| MEANapproach=deep-learning, side-chain packing=Rosetta2023.10 | -7.651 | 37.16 | 1.52 | — | |
| DEPACT2024.09 | -7.571 | 35.3 | — | 0.77 | |
| DEPACTapproach=template-matching-based2023.10 | -7.526 | 26.12 | 1.76 | — | |
| HSRNapproach=autoregressive deep-learning2023.10 | -7.349 | 33.7 | 1.83 | — |