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Uniprot Agent Skill

> Access UniProt for protein sequence and annotation retrieval. (2) Finding functional annotations, (3) Getting domain boundaries, (4) Finding homologs and variants, (5) Cross-referencing to PDB structures. For structure retrieval, use pdb. For sequence design, use proteinmpnn.

1k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
132
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/BioTender-max/awesome-bio-agent-skills --skill uniprot

The instruction itself

17 sections, as written by the author

UniProt Database Access

Note: This skill uses the UniProt REST API directly. No Modal deployment needed - all operations run locally via HTTP requests.

Fetching Sequences

By Accession

# FASTA format
curl "https://rest.uniprot.org/uniprotkb/P00533.fasta"

# JSON format with annotations
curl "https://rest.uniprot.org/uniprotkb/P00533.json"

Using Python

import requests

def get_uniprot_sequence(accession):
    """Fetch sequence from UniProt."""
    url = f"https://rest.uniprot.org/uniprotkb/{accession}.fasta"
    response = requests.get(url)
    if response.ok:
        lines = response.text.strip().split('\n')
        header = lines[0]
        sequence = ''.join(lines[1:])
        return header, sequence
    return None, None

Getting Annotations

Full Entry

def get_uniprot_entry(accession):
    """Fetch full UniProt entry as JSON."""
    url = f"https://rest.uniprot.org/uniprotkb/{accession}.json"
    response = requests.get(url)
    return response.json() if response.ok else None

entry = get_uniprot_entry("P00533")
print(f"Protein: {entry['proteinDescription']['recommendedName']['fullName']['value']}")

Domain Boundaries

def get_domains(accession):
    """Extract domain annotations."""
    entry = get_uniprot_entry(accession)
    domains = []

    for feature in entry.get('features', []):
        if feature['type'] == 'Domain':
            domains.append({
                'name': feature.get('description', ''),
                'start': feature['location']['start']['value'],
                'end': feature['location']['end']['value']
            })

    return domains

# Example: EGFR domains
domains = get_domains("P00533")
# [{'name': 'Kinase', 'start': 712, 'end': 979}, ...]

Searching UniProt

By Gene Name

def search_uniprot(query, organism=None, limit=10):
    """Search UniProt by query."""
    url = "https://rest.uniprot.org/uniprotkb/search"
    params = {
        "query": query,
        "format": "json",
        "size": limit
    }
    if organism:
        params["query"] += f" AND organism_id:{organism}"

    response = requests.get(url, params=params)
    return response.json()['results']

# Search for human EGFR
results = search_uniprot("EGFR", organism=9606)

By Sequence Similarity (BLAST)

# Use UniProt BLAST
# https://www.uniprot.org/blast

Cross-References

Get PDB Structures

def get_pdb_references(accession):
    """Get PDB structures for UniProt entry."""
    entry = get_uniprot_entry(accession)
    pdbs = []

    for xref in entry.get('uniProtKBCrossReferences', []):
        if xref['database'] == 'PDB':
            pdbs.append({
                'pdb_id': xref['id'],
                'method': xref.get('properties', [{}])[0].get('value', ''),
                'chains': xref.get('properties', [{}])[1].get('value', '')
            })

    return pdbs

# Example: PDB structures for EGFR
pdbs = get_pdb_references("P00533")

Common Use Cases

Target Selection

# 1. Find protein by name
results = search_uniprot("insulin receptor", organism=9606)

# 2. Get accession
accession = results[0]['primaryAccession']  # e.g., P06213

# 3. Get domains
domains = get_domains(accession)

# 4. Find PDB structure
pdbs = get_pdb_references(accession)

# 5. Download best structure for design

Sequence Alignment Info

def get_sequence_variants(accession):
    """Get natural variants from UniProt."""
    entry = get_uniprot_entry(accession)
    variants = []

    for feature in entry.get('features', []):
        if feature['type'] == 'Natural variant':
            variants.append({
                'position': feature['location']['start']['value'],
                'original': feature.get('alternativeSequence', {}).get('originalSequence', ''),
                'variant': feature.get('alternativeSequence', {}).get('alternativeSequences', [''])[0],
                'description': feature.get('description', '')
            })

    return variants

API Reference

| Endpoint | Description |

|----------|-------------|

| /uniprotkb/{id}.fasta | FASTA sequence |

| /uniprotkb/{id}.json | Full entry JSON |

| /uniprotkb/search | Search entries |

| /uniprotkb/stream | Batch download |

Troubleshooting

Entry not found: Check accession format (e.g., P00533)

Rate limits: Add delay between requests

Large downloads: Use stream endpoint with pagination


Next: Use sequence with esm for embeddings or colabfold for structure.

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How to use it

Copy the folder

Take biotender-max/uniprot from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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