diffdock

Community

Predict protein-ligand binding poses.

AuthorRowtion
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the prediction of how small molecules (ligands) bind to proteins, a crucial step in drug discovery and understanding biological interactions.

Core Features & Use Cases

  • Molecular Docking: Predicts the 3D pose of a ligand within a protein's binding site.
  • Virtual Screening: Screens large libraries of compounds to identify potential drug candidates.
  • Structure-Based Drug Design: Aids in designing new molecules with desired binding properties.
  • Use Case: A researcher wants to find out where a new drug molecule might bind to a target protein. They can use this Skill to predict the most likely binding poses and assess their confidence.

Quick Start

Use the diffdock skill to predict the binding pose of the ligand with SMILES 'CC(=O)Oc1ccccc1C(=O)O' to the protein structure 'protein.pdb'.

Dependency Matrix

Required Modules

None required

Components

scriptsreferencesassets

💻 Claude Code Installation

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Please help me install this Skill:
Name: diffdock
Download link: https://github.com/Rowtion/Bioclaw/archive/main.zip#diffdock

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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