
Uniprot Database
Direct REST API access to UniProt for protein lookups, FASTA retrieval, and ID mapping across databases like Ensembl, RefSeq, and PDB. You get search by gene name or accession, batch operations for up to 100k IDs, and streaming for large datasets. The included Python client handles the common patterns. One thing to know: if you're already working in Python with multiple bioinformatics databases, bioservices gives you a unified interface to 40+ services including UniProt. This is better when you need UniProt-specific control or you're doing direct HTTP work outside a Python workflow.
- skills.sh installs
- 269
- GitHub stars
- 33.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add davila7/claude-code-templates --skill uniprot-database --agent claude-codeInstalls into .claude/skills of the current project.
Files
UniProt Database
Overview
UniProt is the world's leading comprehensive protein sequence and functional information resource. Search proteins by name, gene, or accession, retrieve sequences in FASTA format, perform ID mapping across databases, access Swiss-Prot/TrEMBL annotations via REST API for protein analysis.
When to Use This Skill
This skill should be used when:
- Searching for protein entries by name, gene symbol, accession, or organism
- Retrieving protein sequences in FASTA or other formats
- Mapping identifiers between UniProt and external databases (Ensembl, RefSeq, PDB, 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
- Building custom queries with field-specific search syntax
Core Capabilities
1. Searching for Proteins
Search UniProt using natural language queries or structured search syntax.
Common search patterns:
# Search by protein name
query = "insulin AND organism_name:\"Homo sapiens\""
Sponsors
Details
- Repository
- github.com/davila7/claude-code-templates
- Categories
- Backend & APIs, Python, Databases
- First seen
- Jun 3, 2026
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