diffdock

SKILL.md

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.

Key Distinction: DiffDock predicts binding poses (3D structure) and confidence (prediction certainty), NOT binding affinity (ΔG, Kd). Always combine with scoring functions (GNINA, MM/GBSA) for affinity assessment.

This script validates Python version, PyTorch with CUDA, PyTorch Geometric, RDKit, ESM, and other dependencies.

확산 기반 분자 도킹. 구조 기반 약물 설계를 위해 PDB/SMILES, 신뢰도 점수, 가상 스크리닝을 통해 단백질-리간드 결합 포즈를 예측합니다. 선호도 예측용이 아닙니다. 출처: ovachiever/droid-tings.

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