Skills

Protein Sequence Similarity Search

Searches for homologous protein sequences using MMseqs2 (fast, default) or BLAST...

Install

npx skills add google-deepmind/science-skills --skill protein-sequence-similarity-search -g -a claude-code -y
Category
Engineering
Updated
12d ago
License
Apache-2.0
Context cost
Mediumabout 2,552 tokens
Runs scripts
Yes, review before use

What it does

Searches for homologous protein sequences using MMseqs2 (fast, default) or BLAST (comprehensive, fallback). Trigger this whenever the user provides a protein sequence or FASTA file and asks to find homologues, sequence matches, or wants to infer protein function based on sequence similarity, but not when the user wants to infer protein function based on structural similarity.

Prerequisites

  1. uv: Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH.
  2. User Notification: If .licenses/protein_sequence_similarity_search_LICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the terms at https://www.ebi.ac.uk/jdispatcher/sss/ncbiblast and https://colabfold.com, then (2) create the file recording the notification text and timestamp.
  3. .env file: Make sure the .env file exists in your home directory. Create one if it does not exist.
  4. USER_EMAIL (optional but recommended): Recommended by the EBI for BLAST job tracking, but the skill works without it. You MUST use the safe credentials protocol in the credentials skill to check for and request this credential if this skill looks relevant to the user's request.

Goal

Take a user-provided amino acid sequence (or a path to a .fasta file), search for sequence homologues using the fastest available method, generate a Markdown-formatted table of the top hits, interpret key alignment metrics, summarize the inferred protein functions, and save results locally for future programmatic analysis.

Core Rules

Read the whole SKILL.md on GitHub

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