agentsclimarketplace

Query uniprot

Skill BioTender-max/awesome-bio-agent-skills/skills/bioclaw/query-uniprot

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".From its SKILL.md

Install
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill query-uniprot

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

2.9 KB, 741 tokens by cl100k_base, as published. Nobody here has run it

UniProt Protein Database Query

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?"

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.