UniProt Protein Database Query

SkillDatabases & data

Query UniProt protein database. Use when user asks about protein sequences, functions, annotations, domains, or protein identifiers. Triggers on "uniprot", "protein function", "protein sequence", "gene product", "protein info".

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the UniProt Protein Database Query skill

What this skill tells your AI

The instructions your AI receives, as published by biotender-max/awesome-bio-agent-skills in skills/bioclaw/query-uniprot/SKILL.md and read by ahel’s review.

Query the UniProt REST API for protein information.

When to Use

  • User asks about a protein's function, sequence, or annotation
  • User provides a gene name and wants protein info
  • User needs protein accession IDs
  • User asks "what does gene X do" (protein level)

How to Execute

import requests
import json

BASE_URL = "https://rest.uniprot.org"

# 1. Search by gene name (default: human, reviewed/Swiss-Prot)
def search_uniprot(gene_name, organism_id=9606, max_results=5):
    url = f"{BASE_URL}/uniprotkb/search"
    params = {
        "query": f"gene_exact:{gene_name} AND organism_id:{organism_id} AND reviewed:true",
        "format": "json",
        "size": max_results,
        "fields": "accession,id,gene_names,protein_name,organism_name,length,cc_function,ft_domain,sequence"
    }
    r = requests.get(url, params=params)
    r.raise_for_status()
    return r.json()

# 2. Get by accession ID
def get_uniprot_entry(accession):
    url = f"{BASE_URL}/uniprotkb/{accession}.json"
    r = requests.get(url)
    r.raise_for_status()
    return r.json()

# 3. Get FASTA sequence
def get_fasta(accession):
    url = f"{BASE_URL}/uniprotkb/{accession}.fasta"
    r = requests.get(url)
    r.raise_for_status()
    return r.text

# Example usage
data = search_uniprot("TP53")
for entry in data.get("results", []):
    acc = entry["primaryAccession"]
    name = entry.get("proteinDescription", {}).get("recommendedName", {}).get("fullName", {}).get("value", "N/A")
    gene = entry.get("genes", [{}])[0].get("geneName", {}).get("value", "N/A")
    length = entry.get("sequence", {}).get("length", "N/A")

    # Extract function
    functions = [c["texts"][0]["value"] for c in entry.get("comments", []) if c["commentType"] == "FUNCTION"]
    func_text = functions[0][:200] if functions else "N/A"

    print(f"Accession: {acc}")
    print(f"Protein: {name}")
    print(f"Gene: {gene}")
    print(f"Length: {length} aa")
    print(f"Function: {func_text}")

Common Search Patterns

  • By gene: gene_exact:BRCA1 AND organism_id:9606
  • By keyword: keyword:kinase AND organism_id:9606
  • By disease: cc_disease:cancer AND organism_id:9606
  • By GO term: go:apoptosis AND organism_id:9606
  • Species IDs: Human=9606, Mouse=10090, Rat=10116, Zebrafish=7955, Fly=7227, Yeast=559292

Output Format

Present: Accession, protein name, gene, organism, length, function summary, and UniProt link.

Follow-up Suggestions

  • "Want me to get the AlphaFold structure for this protein?"
  • "Should I check protein-protein interactions on STRING?"
  • "Want me to BLAST this protein sequence?"

Signals

GitHub stars
178
Forks
32
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
query-uniprot
Source
github.com/biotender-max/awesome-bio-agent-skills