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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Blind Docking On Pdbbind

평가 지표

Top-1 RMSD (%u003c2)
Top-1 RMSD (Med.)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Top-1 RMSD (%u003c2)
Top-1 RMSD (Med.)
Paper TitleRepository
EQUIBIND+SMINA23.2 6.5EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
SMINA 18.77.1 DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
EQUIBIND5.5 6.2EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
TANKBIND-4.0DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
DIFFDOCK (40)38.2±1.03.30±0.11DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
QVINAW 20.9-DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
FABind33.1-FABind: Fast and Accurate Protein-Ligand Binding
GNINA22.97.7DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
DIFFDOCK (10)35.0±1.43.56±0.05DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
P2RANK+SMINA 20.4 6.9DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
EQUIBIND+GNINA 28.8-DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
GLIDE21.89.3DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
FABind+43.5-FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation
P2RANK+GNINA-5.5DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
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