autodock-vina-docking

Community

Predict protein-ligand binding modes & affinities.

Authorjaechang-hits
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the complex process of molecular docking, enabling researchers to predict how small molecules (ligands) bind to proteins and estimate their binding strength, accelerating drug discovery.

Core Features & Use Cases

  • Receptor & Ligand Preparation: Converts PDB and SMILES/SDF into formats suitable for docking.
  • Binding Site Definition: Identifies or allows manual specification of the docking search space.
  • Docking Execution: Runs AutoDock Vina to generate multiple binding poses and their energies.
  • Result Analysis: Extracts binding energies, allows RMSD calculation for validation, and visualizes results.
  • Batch Screening: Enables high-throughput virtual screening of compound libraries.
  • Use Case: A medicinal chemist wants to screen a library of 1000 compounds against a newly identified cancer target protein. This Skill can automate the docking of all compounds, rank them by predicted binding affinity, and identify the top potential drug candidates for further experimental testing.

Quick Start

Use the autodock-vina-docking skill to prepare the receptor from '1HPV.pdb', prepare the ligand from SMILES 'CC(C)(C)NC(=O)[C@@H]1CN(CCc2ccccc2)C[C@H]1O', and run docking with 10 poses.

Dependency Matrix

Required Modules

vinameekordkit-pypiprodypy3Dmolnumpypandassubprocess

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: autodock-vina-docking
Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#autodock-vina-docking

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