Imported from gabrielmoreira/agent-skills-mirror (mirrors/repos/Kayforkind@skill-slice/skills/uniprot-database/SKILL.md). Install upstream with npx skills add gabrielmoreira/agent-skills-mirror --skill uniprot-database. Copyright stays with the author (Unknown).

UniProt Database

Overview

UniProt is the world's leading comprehensive protein sequence and functional information resource. This skill provides direct HTTP/REST access to the UniProt REST API (https://rest.uniprot.org) for protein searches, sequence retrieval, ID mapping, and annotation access. For Python workflows that span multiple biological databases, consider bioservices (unified interface to 40+ services) instead — use this skill when you need direct HTTP/REST control or UniProt-specific features.

When to Use

Use this skill when any of the following apply:

• Searching for protein entries by name, gene symbol, accession, or organism
• Retrieving protein sequences in FASTA, JSON, TSV, or other supported formats
• Mapping identifiers between UniProt and external databases (Ensembl, RefSeq, PDB, AlphaFoldDB, KEGG, GO, etc.)
• Accessing protein annotations including GO terms, domains, and functional descriptions
• Batch retrieving multiple protein entries efficiently
• Querying reviewed (Swiss-Prot) vs. unreviewed (TrEMBL) protein data
• Streaming large protein datasets that exceed pagination limits
• Building custom queries with field-specific search syntax

Trigger keywords: UniProt, protein search, FASTA retrieval, accession lookup, Swiss-Prot, TrEMBL, ID mapping, protein annotation, GO term, protein sequence, UniProtKB.

Prerequisites

• Network access to https://rest.uniprot.org (no API key required for standard public queries)
• Python 3.8+ if using the helper script (scripts/uniprot_client.py)
• PowerShell on Windows is the primary host shell. Use curl.exe (Windows built-in) or Invoke-RestMethod for HTTP calls from the command line
• Optional Python packages for advanced workflows: unipressed (modern typed client), bioservices (multi-service unified client)

Procedure

1. Search for Proteins

Use the search endpoint with a structured query and desired format.

Endpoint:

https://rest.uniprot.org/uniprotkb/search?query={query}&format={format}

Supported formats: json, tsv, xlsx, xml, fasta, rdf, txt

Common query patterns:

# Search by protein name
query = 'insulin AND organism_name:"Homo sapiens"'

# Search by gene name (reviewed only = Swiss-Prot)
query = "gene:BRCA1 AND reviewed:true"

# Search by accession
query = "accession:P12345"

# Search by sequence length range
query = "length:[100 TO 500]"

# Search by taxonomy ID (9606 = Human)
query = "taxonomy_id:9606"

# Search by GO term
query = "go:0005515"  # Protein binding

PowerShell example (TSV output with selected fields):

$query = [uri]::EscapeDataString('insulin AND organism_name:"Homo sapiens"')
curl.exe -s "https://rest.uniprot.org/uniprotkb/search?query=$query&fields=accession,gene_names,organism_name,length,sequence&format=tsv"

Boolean and field syntax:

kinase AND organism_name:human
(diabetes OR insulin) AND reviewed:true
cancer NOT lung
gene:BRCA*
protein_name:kinase*
length:[100 TO 500]
mass:[50000 TO 100000]
annotation:(type:signal)

Load references/query_syntax.md when you need comprehensive syntax documentation, advanced boolean/nested queries, or wildcard rules before constructing complex queries.

2. Retrieve a Single Protein Entry

Retrieve a specific protein by accession number.

Accession formats:

• Classic: P12345, Q1AAA9, O15530 (6 chars: 1 letter + 5 alphanumeric)
• Extended: A0A022YWF9 (10 chars for newer entries)

Endpoint:

https://rest.uniprot.org/uniprotkb/{accession}.{format}

PowerShell example (FASTA):

curl.exe -s "https://rest.uniprot.org/uniprotkb/P12345.fasta"

3. Batch Retrieval and ID Mapping

Map protein identifiers between database systems in three steps.

Step 1 — Submit mapping job:

$body = "ids=P12345,Q8N6T3,A0A022YWF9&from=UniProtKB_AC-ID&to=Ensembl"
curl.exe -s -X POST "https://rest.uniprot.org/idmapping/run" -d $body

Returns a JSON object with a jobId.

Step 2 — Check job status:

curl.exe -s "https://rest.uniprot.org/idmapping/status/{jobId}"

Step 3 — Retrieve results:

curl.exe -s "https://rest.uniprot.org/idmapping/results/{jobId}"

Supported mapping databases include: UniProtKB AC/ID, Gene names, Ensembl, RefSeq, EMBL, PDB, AlphaFoldDB, KEGG, GO terms, and many more.

Load references/id_mapping_databases.md before constructing an ID mapping job to confirm the exact from and to database identifiers supported by the API.

Limitations:

• Maximum 100,000 IDs per mapping job
• Results stored for 7 days after job completion

4. Stream Large Result Sets

For queries that exceed pagination limits, use the stream endpoint to retrieve all matching results in a single response.

Endpoint:

https://rest.uniprot.org/uniprotkb/stream?query={query}&format={format}

PowerShell example:

$query = [uri]::EscapeDataString('taxonomy_id:9606 AND reviewed:true')
curl.exe -s "https://rest.uniprot.org/uniprotkb/stream?query=$query&format=fasta" -o swissprot_human.fasta

5. Customize Retrieved Fields

Specify only the fields you need to reduce bandwidth and processing time.

Common fields:

Example with field selection:

https://rest.uniprot.org/uniprotkb/search?query=insulin&fields=accession,gene_names,organism_name,length,sequence&format=tsv

Load references/api_fields.md when you need the complete field list or are constructing a TSV/JSON query with non-standard fields.

6. Use the Python Helper Script

For programmatic access, use scripts/uniprot_client.py which implements:

• search_proteins(query, format) — Search UniProt with any query
• get_protein(accession, format) — Retrieve a single protein entry
• map_ids(ids, from_db, to_db) — Map between identifier types
• batch_retrieve(accessions, format) — Retrieve multiple entries
• stream_results(query, format) — Stream large result sets

Load scripts/uniprot_client.py when the task requires repeated API calls, pagination handling, or integration into a Python pipeline. For one-off queries, use curl.exe or Invoke-RestMethod directly.

Alternative Python packages:

• Unipressed — Modern, typed Python client for the UniProt REST API
• bioservices — Comprehensive bioinformatics web services client (40+ services)

Load references/api_examples.md when you need code examples in multiple languages (Python, curl, R) beyond the patterns shown here.

Best Practices

1. Prefer reviewed entries — Filter with reviewed:true for Swiss-Prot (manually curated) entries when data quality matters
2. Specify format explicitly — FASTA for sequences, TSV for tabular data, JSON for programmatic parsing
3. Use field selection — Only request fields you need to reduce bandwidth and processing time
4. Handle pagination or stream — For large result sets, implement proper pagination or use the stream endpoint
5. Cache results locally — Store frequently accessed data to minimize repeated API calls
6. Rate-limit your requests — Be respectful of API resources; implement delays for large batch operations
7. Check data quality — TrEMBL entries are computational predictions; Swiss-Prot entries are manually reviewed

Pitfalls

• TrEMBL vs. Swiss-Prot confusion: TrEMBL entries are computationally predicted and unreviewed. Always use reviewed:true when you need manually curated Swiss-Prot data. Do not assume all UniProtKB entries are experimentally validated.
• URL encoding: Queries containing spaces, quotes, or special characters must be URL-encoded. In PowerShell, use [uri]::EscapeDataString() before appending to the URL. Failure to encode will produce 400 errors or unexpected results.
• ID mapping job limits: Each mapping job accepts a maximum of 100,000 IDs. Exceeding this silently truncates or rejects the job. Split large ID lists into batches.
• ID mapping result expiry: Results are stored for only 7 days. Retrieve and persist results before they expire.
• Pagination vs. stream: The search endpoint paginates results (default 25 per page). If you expect more than a few hundred results and do not implement cursor-based pagination, use the stream endpoint instead.
• Field name typos: Invalid field names in the fields parameter are silently ignored by the API — you will get a response with fewer columns than expected and no error. Cross-check against references/api_fields.md.
• Accession format ambiguity: Classic accessions (6 chars) and extended accessions (10 chars) are both valid. Do not validate accession length strictly; use the API to confirm existence.
• Rate limiting: UniProt may throttle or block IPs making excessive rapid requests. Add delays (e.g., 0.5–1 second) between batch calls.

Verification

Verify that the API is reachable and returning expected data:

# 1. Check API connectivity — retrieve a known accession in FASTA
curl.exe -s "https://rest.uniprot.org/uniprotkb/P12345.fasta"
# Expected: FASTA header line starting with ">sp|P12345|..." followed by sequence lines

# 2. Verify search returns results
$query = [uri]::EscapeDataString('gene:BRCA1 AND reviewed:true')
curl.exe -s "https://rest.uniprot.org/uniprotkb/search?query=$query&format=tsv&fields=accession,id,gene_names&size=5"
# Expected: TSV with header row and at least one data row

# 3. Verify stream endpoint works
$query = [uri]::EscapeDataString('accession:P12345')
curl.exe -s "https://rest.uniprot.org/uniprotkb/stream?query=$query&format=fasta"
# Expected: Single FASTA entry for P12345

# 4. Verify ID mapping submission
curl.exe -s -X POST "https://rest.uniprot.org/idmapping/run" -d "ids=P12345&from=UniProtKB_AC-ID&to=Ensembl"
# Expected: JSON containing a "jobId" field

If any of the above returns an HTTP 4xx/5xx error or empty body, check network connectivity, URL encoding, and query syntax before proceeding.

Resources

scripts/

• uniprot_client.py — Python client with helper functions for search, retrieval, ID mapping, batch retrieval, and streaming

references/

• api_fields.md — Complete list of available fields for customizing queries (load before constructing non-standard field selections)
• id_mapping_databases.md — Supported databases for ID mapping operations (load before submitting any ID mapping job)
• query_syntax.md — Comprehensive query syntax with advanced examples (load before constructing complex boolean/nested queries)
• api_examples.md — Code examples in multiple languages: Python, curl, R (load when you need language-specific patterns beyond this skill)

External links

• API Documentation: https://www.uniprot.org/help/api
• Interactive API Explorer: https://www.uniprot.org/api-documentation
• REST Tutorial: https://www.uniprot.org/help/uniprot_rest_tutorial
• Query Syntax Help: https://www.uniprot.org/help/query-fields
• SPARQL Endpoint: https://sparql.uniprot.org/ (for advanced graph queries)

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.