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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---
name: diffdock
description: 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.
license: MIT license
metadata:
skill-author: K-Dense Inc.
---
# 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 targetsHow to Use
Recommended: Install to project (local)
mkdir -p .claude/skills
curl -o .claude/skills/diffdock.md \
https://raw.githubusercontent.com/K-Dense-AI/claude-scientific-skills/main/scientific-skills/diffdock/SKILL.mdSkill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.
Alternative: Clone full repo
git clone https://github.com/K-Dense-AI/claude-scientific-skillsThen reference at scientific-skills/diffdock/SKILL.md
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