uniprot-query
Skill1.1k starsChanged 8 months agoMITView on GitHub
Query UniProt database for protein sequences, metadata, and search by criteria. Use this skill when: (1) Looking up protein information by UniProt accession ID, (2) Searching proteins by gene name, organism, function, or disease, (3) Retrieving comprehensive protein metadata including domains, PTMs, and annotations.
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The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Look up protein by UniProt accession (e.g., P00533 for EGFR)
- Distinctive: line 21
Search proteins by gene name, organism, or keywords
- Distinctive: line 51
Search UniProt by gene name, organism, keywords, or disease.
- Very specific: line 92
Combine queries: Use AND, OR to combine criteria:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
UniProt Query
Query the UniProt knowledgebase for comprehensive protein information.
When to Use
- Look up protein by UniProt accession (e.g., P00533 for EGFR)
- Search proteins by gene name, organism, or keywords
- Retrieve protein metadata: function, domains, diseases, PTMs
- Get protein sequences and structural annotations
Workflow
Use Case 1: Protein Lookup by ID
Fetch complete protein information including metadata.
from open_biomed.tools.tool_registry import TOOLS
import requests
import json
# Get protein sequence (existing tool)
tool = TOOLS["protein_uniprot_request"]
proteins, _ = tool.run(accession="P0DTC2") # SARS-CoV-2 Spike
protein = proteins[0]
# Fetch full metadata from UniProt API
url = f"https://rest.uniprot.org/uniprotkb/P0DTC2?format=json"
response = requests.get(url)
metadata = parse_uniprot_entry(response.json())See examples/lookup_by_id.py for complete implementation.
Use Case 2: Search by Criteria
Search UniProt by gene name, organism, keywords, or disease.
import requests
base_url = "https://rest.uniprot.org/uniprotkb/search"
# Example queries:
queries = {
"gene_exact:EGFR AND organism_id:9606": "Human EGFR",
"gene_exact:S AND organism_id:2697049": "SARS-CoV-2 Spike",
"keyword:Kinase AND organism_id:9606": "Human kinases",
"diabetes AND organism_id:9606": "Diabetes-related proteins",
}
params = {
"query": "gene_exact:EGFR AND organism_id:9606 AND reviewed:true",
"fields": "accession,gene_primary,protein_name,organism_name,length",
"format": "json",
"size": 10
}
response = requests.get(base_url, params=params)See examples/search_by_criteria.py for complete implementation.
Query Syntax Reference
| Field | Example | Description |
gene_exact | gene_exact:EGFR | Exact gene name match |
gene | gene:BRCA | Gene name (partial match) |
organism_id | organism_id:9606 | Organism by TaxID |
organism | organism:"Homo sapiens" | Organism by name |
protein_name | protein_name:kinase | Protein name search |
keyword | keyword:Kinase | UniProt keyword |
cc_disease | cc_disease:diabetes | Disease association |
reviewed | reviewed:true | Swiss-Prot only (curated) |
Common Organism IDs: Human (9606), Mouse (10090), SARS-CoV-2 (2697049), E. coli (83333)
Combine queries: Use AND, OR to combine criteria:
gene_exact:EGFR AND organism_id:9606 AND reviewed:true
Expected Outputs
Metadata JSON (lookup_by_id)
{
"accession": "P0DTC2",
"uniProtId": "SPIKE_SARS2",
"protein": {"name": "Spike glycoprotein"},
"gene": {"primary": "S", "synonyms": []},
"organism": {"scientific_name": "...", "taxon_id": 2697049},
"sequence": {"length": 1273, "mass": 141178},
"function": ["Attaches the virion to host receptor..."],
"domains": [{"type": "Domain", "description": "RBD", "location": "319-541"}],
"keywords": ["Glycoprotein", "Transmembrane", "Viral attachment"],
"subcellular_location": ["Virion membrane"]
}Text Report
======================================================================
UNIPROT PROTEIN REPORT
======================================================================
Accession: P0DTC2
Protein: Spike glycoprotein
Gene: S
Organism: Severe acute respiratory syndrome coronavirus 2
Length: 1273 aa
FUNCTION
Attaches the virion to the cell membrane by interacting with
host receptor ACE2...
DOMAINS
• Domain: BetaCoV S1-NTD (14-303)
• Region: Receptor-binding domain (319-541)Search Results JSON
{
"query": "gene_exact:S AND organism_id:2697049",
"total_results": 10,
"results": [
{"accession": "P0DTC2", "gene": "S", "protein_name": "Spike glycoprotein", ...}
]
}Error Handling
| Error | Solution |
| Accession not found | Verify UniProt ID format (e.g., P00533, not EGFR) |
| No search results | Broaden query, remove reviewed:true, check organism ID |
| Timeout | Reduce size parameter, simplify query |
| Rate limited | Wait and retry; UniProt allows 10 requests/second |
Available Tools
| Tool | Purpose |
protein_uniprot_request | Fetch protein sequence by accession (existing) |
The workflows in this skill extend the basic tool with full metadata retrieval via UniProt REST API.
References
references/query_fields.md- Complete query field referencereferences/metadata_fields.md- Available metadata fields- UniProt API Docs: https://www.uniprot.org/api-documentation
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