structure-alignment-analysis

Align and compare protein structures in PyMOL using align, cealign, and RMSD.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Comparing protein structures and assessing conformational differences can be time-consuming. This skill provides workflows to align structures, compute RMSD, and visualize differences in PyMOL, enabling quick structural insights.

Core Features & Use Cases

  • Automates structural alignment using common PyMOL commands (align, cealign, and super) for pairwise and multi-structure comparisons.
  • Computes RMSD values (global and CA-only) to quantify similarity and track structural changes.
  • Visualizes differences by coloring conserved vs variable regions and highlighting alignment paths for publication-ready figures.

Quick Start

Load two protein structures in PyMOL and run an alignment to visualize the structural differences.

Frequently Asked Questions about structure-alignment-analysis

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

FAQPage Schema
How do I align and compare protein structures to visualize conformational changes?

To align and compare protein structures, you use PyMOL commands like align, cealign, and super to calculate structural differences and generate visual outputs highlighting conformational changes. This workflow automates pairwise and multi-structure comparisons to reveal structural similarities.

What is the best way to calculate RMSD for protein mutants in PyMOL?

Calculating RMSD for protein mutants in PyMOL is best achieved by running alignment commands that compute both global and CA-only RMSD values, quantifying structural similarity and tracking changes between the mutant and reference structures.

How do I generate publication-ready figures of protein structural differences?

You generate publication-ready figures of protein structural differences by visualizing alignments in PyMOL, coloring conserved versus variable regions, and highlighting alignment paths to clearly illustrate structural similarities and differences.

Do I need PyMOL installed to compute structural alignment and assess homologs?

Yes, you need PyMOL installed to compute structural alignment and assess homologs, as this workflow requires access to PyMOL and its supporting commands like align, cealign, and rmsd to execute structural comparisons and generate visual outputs.

When should I use cealign vs align for protein structure analysis?

You choose cealign versus align for protein structure analysis depending on structural similarity: cealign is suited for comparing homologs with low sequence identity, while align works well for validating models and assessing conformational changes in highly similar structures.