uniprot-database
$
npx mdskill add aipoch/medical-research-skills/uniprot-databaseQuery UniProtKB directly for protein data and ID mapping.
- Enables protein searches, entry retrieval, and cross-database ID conversion.
- Depends on UniProt's REST API and Python requests library.
- Executes Lucene-style queries and returns structured JSON responses.
- Delivers results in JSON, TSV, or FASTA formats based on user needs.
SKILL.md
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---
name: uniprot-database
description: Direct REST API access to UniProt for protein search, entry retrieval, and identifier mapping; use when you need programmatic UniProtKB queries or cross-database ID conversion.
license: MIT
author: aipoch
---
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
## When to Use
- You need to search UniProtKB with Lucene-style queries (e.g., by gene name, organism, reviewed status).
- You want to fetch the full details of a specific protein entry by UniProt accession (e.g., `P12345`).
- You need to map identifiers between databases (e.g., gene names, Ensembl IDs, RefSeq IDs ↔ UniProt accessions).
- You are building pipelines that require automated protein annotation retrieval in JSON/TSV/FASTA formats.
- You need a lightweight client that talks directly to UniProt’s REST API without additional SDKs.
## Key Features
- **Protein search** via UniProtKB REST endpoint using Lucene query syntax.
- **Entry retrieval** by accession with selectable output formats.
- **Identifier mapping** between supported source/target databases using UniProt ID mapping service.
- **Format control** (default `json`) for consistent downstream parsing.
- **Reference docs** for query syntax and available API fields:
- `references/query_syntax.md`
- `references/api_fields.md`
## Dependencies
- Python `>=3.8`
- `requests >=2.31.0`
## Example Usage
```python
import time
import requests
BASE = "https://rest.uniprot.org"
def search_protein(query: str, fmt: str = "json", size: int = 5):
"""
Search UniProtKB using Lucene-style query syntax.
"""
url = f"{BASE}/uniprotkb/search"
params = {"query": query, "format": fmt, "size": size}
r = requests.get(url, params=params, timeout=30)
r.raise_for_status()
return r.json() if fmt == "json" else r.text
def retrieve_entry(accession: str, fmt: str = "json"):
"""
Retrieve a UniProtKB entry by accession.
"""
url = f"{BASE}/uniprotkb/{accession}"
params = {"format": fmt}
r = requests.get(url, params=params, timeout=30)
r.raise_for_status()
return r.json() if fmt == "json" else r.text
def id_mapping(from_db: str, to_db: str, ids, poll_interval_s: float = 1.0):
"""
Map identifiers using UniProt ID Mapping.
ids can be a list of strings or a comma-separated string.
"""
if isinstance(ids, (list, tuple)):
ids = ",".join(ids)
# 1) Submit mapping job
submit_url = f"{BASE}/idmapping/run"
r = requests.post(
submit_url,
data={"from": from_db, "to": to_db, "ids": ids},
timeout=30,
)
r.raise_for_status()
job_id = r.json()["jobId"]
# 2) Poll job status
status_url = f"{BASE}/idmapping/status/{job_id}"
while True:
s = requests.get(status_url, timeout=30)
s.raise_for_status()
payload = s.json()
if payload.get("jobStatus") in (None, "FINISHED"):
break
if payload.get("jobStatus") == "FAILED":
raise RuntimeError(f"ID mapping failed: {payload}")
time.sleep(poll_interval_s)
# 3) Fetch results (JSON)
results_url = f"{BASE}/idmapping/results/{job_id}"
res = requests.get(results_url, params={"format": "json"}, timeout=30)
res.raise_for_status()
return res.json()
if __name__ == "__main__":
# Search example: human BRCA1
search = search_protein("gene:BRCA1 AND organism_id:9606", size=3)
print("Search results (first accessions):",
[item["primaryAccession"] for item in search.get("results", [])])
# Retrieve entry example
entry = retrieve_entry("P38398") # UniProt accession for human BRCA1 (example)
print("Entry primaryAccession:", entry.get("primaryAccession"))
print("Protein name:", entry.get("proteinDescription", {}).get("recommendedName", {}).get("fullName", {}).get("value"))
# ID mapping example: gene name -> UniProtKB
mapping = id_mapping(from_db="Gene_Name", to_db="UniProtKB", ids=["BRCA1"])
print("Mapping results keys:", mapping.keys())
```
## Implementation Details
- **Search Protein**
- Uses `GET /uniprotkb/search`
- Key parameters:
- `query`: Lucene-style query string (see `references/query_syntax.md`)
- `format`: output format (default `json`)
- Optional common parameters: `size`, `fields`, `sort`
- Returns parsed JSON when `format=json`, otherwise raw text.
- **Retrieve Entry**
- Uses `GET /uniprotkb/{accession}`
- Key parameters:
- `accession`: UniProt accession (e.g., `P12345`)
- `format`: output format (default `json`)
- Suitable for fetching full record details for a known accession.
- **ID Mapping**
- Uses UniProt asynchronous mapping workflow:
1. `POST /idmapping/run` with `from`, `to`, `ids`
2. Poll `GET /idmapping/status/{jobId}` until finished
3. Fetch `GET /idmapping/results/{jobId}?format=json`
- `ids` accepts either a list or a comma-separated string.
- Recommended parameters:
- `poll_interval_s`: controls polling frequency to avoid excessive requests.
- `from_db` / `to_db` must match UniProt-supported database identifiers (consult UniProt mapping documentation as needed).More from aipoch/medical-research-skills
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