UniProt Protein Database Query
SkillDatabases & dataQuery 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.
No other account needed.
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