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Blind Docking on PDBBind Apo ESMFold proteins generated (test)

24.9Top-1 RMSD < 2Å AccFABIND
0.7727.03613.319.564Oct 4, 2022Dec 4, 2022Feb 4, 2023Apr 7, 2023Jun 8, 2023Aug 9, 2023Oct 10, 2023

Evaluation results

MethodLinks
FABINDSoftware Type=Deep learning based docking method2023.1024.94.2———
DIFFDOCKposes_sampled=10, pocket_prediction=internal2022.1021.7531.93.310
DIFFDOCKNumber of samples=10, Software Type=Deep learning based docking method2023.1021.75———
DIFFDOCKposes_sampled=40, pocket_prediction=internal2022.1020.35.131.33.340
DIFFDOCKNumber of samples=40, Software Type=Deep learning based docking method2023.1020.35.1———
TANKBINDpocket_prediction=internal2022.1010.45.414.74.3—
TANKBINDSoftware Type=Deep learning based docking method2023.1010.45.4———
EQUIBIND+GNINApocket_prediction=EquiBind2022.1010.28.818.65.6127
EQUIBIND+GNINASoftware Type=Deep learning based docking method2023.1010.28.8———
P2RANK+GNINApocket_prediction=P2Rank2022.108.611.212.87.2127
P2RANK+GNINASoftware Type=Deep learning based docking method2023.108.611.2———
P2RANK+SMINApocket_prediction=P2Rank, hardware=CPU-only2022.104.61010.37126
P2RANK+SMINASoftware Type=Deep learning based docking method2023.104.610———
EQUIBIND+SMINApocket_prediction=EquiBind, hardware=CPU-only2022.104.38.311.75.8126
EQUIBIND+SMINASoftware Type=Deep learning based docking method2023.104.38.3———
SMINApocket_prediction=none, hardware=CPU-only2022.103.415.46.910126
SMINASoftware Type=Traditional docking software2023.103.415.4———
GNINApocket_prediction=none2022.10222.3414.22127
GNINASoftware Type=Traditional docking software2023.10222.3———
EQUIBINDpocket_prediction=none2022.101.77.1——0.04
EQUIBINDSoftware Type=Deep learning based docking method2023.101.77.1———