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Databases48k · #4442

uniprot-database

Lets your agent directly access the UniProt database via API. It's useful for searching protein information and integrating it into data workflows.

What it does

This tool lets you search for detailed information about proteins in the UniProt database. You can find proteins by name, gene, or code, retrieve their sequences, and functional data.

When to use it

  • ✓When you need to find a specific protein by its name.
  • ✓To download a protein's sequence in a specific format.
  • ✓To discover how different protein identification codes relate to each other.

Example of what to ask your AI

“Find the human insulin protein and give me its sequence in FASTA format.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/uniprot-database/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/uniprot-database/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool connects directly to the UniProt database over the internet. It sends your query and receives back the requested data, such as protein names, sequences, or other information.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill uniprot-database

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/uniprot-database/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Supporting material availability

This catalog copy contains the inline guidance below, but does not include the following supporting paths. They are external prerequisites, not bundled files:

  • <support-root>/scripts/uniprot_client.py

Ask for the original supporting material or an existing installation before using a step that depends on these paths; this catalog does not identify a verified download source for them. Resolve each path relative to that installation, inspect its contents, and verify any applicable license and execution prerequisites. Do not run a command or claim a referenced procedure was followed until its required file exists. Do not fabricate the missing scripts or treat an unrelated file with the same name as equivalent. Independent steps fully documented here can proceed within the user’s authorized scope; report any dependent step as unavailable.

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\""

# Search by gene name
query = "gene:BRCA1 AND reviewed:true"

# Search by accession
query = "accession:P12345"

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

# Search by taxonomy
query = "taxonomy_id:9606"  # Human proteins

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

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

Supported formats: JSON, TSV, Excel, XML, FASTA, RDF, TXT

2. Retrieving Individual Protein Entries

Retrieve specific protein entries by accession number.

Accession number formats:

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

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

Example: https://rest.uniprot.org/uniprotkb/P12345.fasta

3. Batch Retrieval and ID Mapping

Map protein identifiers between different database systems and retrieve multiple entries efficiently.

ID Mapping workflow:

  1. Submit mapping job to: https://rest.uniprot.org/idmapping/run
  2. Check job status: https://rest.uniprot.org/idmapping/status/{jobId}
  3. Retrieve results: https://rest.uniprot.org/idmapping/results/{jobId}

Supported databases for mapping:

  • UniProtKB AC/ID
  • Gene names
  • Ensembl, RefSeq, EMBL
  • PDB, AlphaFoldDB
  • KEGG, GO terms
  • And many more (see /references/id_mapping_databases.md)

Limitations:

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

4. Streaming Large Result Sets

For large queries that exceed pagination limits, use the stream endpoint:

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

The stream endpoint returns all results without pagination, suitable for downloading complete datasets.

5. Customizing Retrieved Fields

Specify exactly which fields to retrieve for efficient data transfer.

Common fields:

  • accession - UniProt accession number
  • id - Entry name
  • gene_names - Gene name(s)
  • organism_name - Organism
  • protein_name - Protein names
  • sequence - Amino acid sequence
  • length - Sequence length
  • go_* - Gene Ontology annotations
  • cc_* - Comment fields (function, interaction, etc.)
  • ft_* - Feature annotations (domains, sites, etc.)

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

…

FAQ

What is UniProt?

UniProt is a large online database containing detailed information about proteins, such as their sequences and functions.

What are 'Swiss-Prot' and 'TrEMBL'?

These are two parts of UniProt. Swiss-Prot contains proteins that have been reviewed and are high quality, while TrEMBL contains proteins that have not yet been reviewed.

Can I search for multiple proteins at once?

Yes, you can search for or map identifiers for multiple proteins at once, up to a limit of 100,000 at a time.

Details

Original description by the author

Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#4442
License
MIT
Updated
10/15/2026

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