Diffdock
원문: diffdock
Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
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DiffDock: Molecular Docking with Diffusion Models Overview DiffDock is a diffusion based deep learning tool for molecular docking that predicts 3D binding poses of small molecule ligands to protein targets. It represents the state of the art in computational docking, crucial for structure based drug discovery and chemical biology. Core Capabilities: Predict ligand binding poses with high accuracy using deep learning Support protein structures (PDB files) or sequences (via ESMFold) Process single complexes or batch virtual screening campaigns Generate confidence scores to assess prediction reliability Handle diverse ligand inputs (SMILES, SDF, MOL2) Key Distinction: DiffDock predicts binding …
실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.