protein-sequence-msa

Official

Align proteins to find conserved regions

Authorgoogle-deepmind
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It solves the problem of comparing multiple protein sequences by computing a multiple sequence alignment so you can identify similarity and conservation across a set.

Core Features & Use Cases

  • Multiple sequence alignment via EBI Clustal Omega: Produces an alignment for protein FASTA inputs using the EBI service.
  • Scales to large datasets: Supports up to 4000 protein sequences and up to 4 MB input size.
  • Objective-driven interpretation: Helps you assess similarity, domain conservation, and conservation of key residues by analyzing the produced alignment, without fabricating metrics.

Quick Start

Use the protein-sequence-msa skill to align your FASTA file by running the provided wrapper and saving the output alignment for downstream analysis.

Dependency Matrix

Required Modules

scienceskillscommonpython-dotenv

Components

scripts

💻 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: protein-sequence-msa
Download link: https://github.com/google-deepmind/science-skills/archive/main.zip#protein-sequence-msa

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

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.