binding-site-visualization

Visualize protein-ligand binding sites with PyMOL and generate publication-ready figures.

3|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/ANaka/claudemol --skill binding-site-visualization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: binding-site-visualization
Source: https://github.com/ANaka/claudemol/tree/main/claude-plugin/skills/binding-site-visualization
Command: npx skills add https://github.com/ANaka/claudemol --skill binding-site-visualization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researchers need to visualize and interpret protein-ligand binding sites, pockets, and interactions to design inhibitors, understand mechanisms, and communicate results in publications.

Core Features & Use Cases

  • Visualize protein cartoon representations, ligands as sticks, pockets as surfaces, and highlight interactions to support interpretation.
  • Define ligand and pocket selections using common PyMOL patterns, quantify contacts and hydrogen bonds, and generate annotated figures.
  • Use cases include preparing publication-ready figures, validating binding-pocket hypotheses, and exploring structure-activity relationships.

Quick Start

Load a protein structure, identify the ligand and pocket, apply a visualization style, and export a publication-ready image.

Frequently Asked Questions about binding-site-visualization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize protein-ligand binding sites in PyMOL for publication-ready figures?

Define ligand and pocket selections in PyMOL, apply cartoon representations for proteins and sticks for ligands, then export publication-ready figures. This workflow quantifies hydrogen bonds and documents structure-activity relationships.

Can I quantify hydrogen bonds and contacts at a protein binding pocket using PyMOL?

You can quantify hydrogen bonds and contacts by defining pocket and ligand selection strategies in PyMOL. This evaluates ligand interactions to validate binding-pocket hypotheses during drug design.

What is the best way to define a binding pocket for structure analysis in drug design?

Define a binding pocket using standard PyMOL selection patterns to isolate ligands and surrounding residues. This enables surface display generation and interaction metric calculation for drug design analysis.

Does this protein-ligand visualization workflow require external components or dependencies?

This protein-ligand visualization workflow operates without external dependencies, utilizing a scriptable pymol-agent-bridge interface. It directly supports standard protein targets within Claude Code environments.

How do I script PyMOL visualization steps for analyzing multiple protein targets?

Script PyMOL visualization steps by defining reusable selection strategies, color schemes, and interaction metrics through the pymol-agent-bridge interface. This automates structure-activity relationship exploration across standard protein targets.