uniprot-database
Skill1 starsChanged 31 days agoBSD-3-ClauseView on GitHub
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.
12 other projects use a version of this, 7 of them edited.
Adopted by
Most recently taken up by
- BrightGold70/skillsedited, first seen Nov 8, 2026
- 1stANUNNAKI/majlistheir own version, first seen Nov 8, 2026
- MarieLynneBlock/arcanum-artifexedited, first seen Nov 1, 2026
- davidanthonyn/claude-skillsedited, first seen Oct 20, 2026
- Osmosy/vector-genetheir own version, first seen Oct 13, 2026
- wu-yc/LabClawedited, first seen Oct 8, 2026
Used with
Projects with it also use usfiscaldata, ena-database and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
yf8578Skillusfiscaldata
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.
Also in 5 projects that use this
garri333Skillena-database
Access European Nucleotide Archive via API/FTP. Retrieve DNA/RNA sequences, raw reads (FASTQ), genome assemblies by accession, for genomics and bioinformatics pipelines. Supports multiple formats.
Also in 5 projects that use this
garri333Skillgwas-database
Query NHGRI-EBI GWAS Catalog for SNP-trait associations. Search variants by rs ID, disease/trait, gene, retrieve p-values and summary statistics, for genetic epidemiology and polygenic risk scores.
Also in 5 projects that use this
- +9 more from garri333
Other versions12 projects use a version of this.
Word for word · 0
None found.
Edited · 7
- wu-yc/LabClaw★ 1.1k86% same
- LeonChaoX/qinyan-academic-skills★ 91099% same
- qinyan-ai/qinyan-academic-skills★ 8099% same
- MarieLynneBlock/arcanum-artifex★ 497% same
- BrightGold70/skills★ 186% same
- yf8578/claude-skills-collection★ 186% same
- davidanthonyn/claude-skills★ 0100% same
Wrote their own version · 5
- google-deepmind/science-skills★ 3.4ksame name
- BeyondTheProtocol/polaris★ 47same name
- 1stANUNNAKI/majlis★ 2same name
- uppifyagency/boilerplate-saas-2026★ 1same name
- Osmosy/vector-gene★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository11 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- amigoSkill
- annotate-functionSkill
- gene-reviewSkill
- gocam-best-practiceSkill
- gocam-reviewSkill
- noctuaSkill
- pubmed-eutilsSkill
- reportSkill
- save-to-drop-boxSkill
- summarySkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 12 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 33
Search UniProt using natural language queries or structured search syntax.
- Very specific: line 56
Use the API search endpoint: https://rest.uniprot.org/uniprotkb/search?query={query}&format={format}
- Very specific: line 78
Check job status: https://rest.uniprot.org/idmapping/status/{jobId}
- Distinctive: line 171
Use field selection: Only request fields you need to reduce bandwidth and processing time
“Common” is measured: kept by at least 6 in 10 of the 12 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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\""
# 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 bindingUse 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:
- Submit mapping job to:
https://rest.uniprot.org/idmapping/run - Check job status:
https://rest.uniprot.org/idmapping/status/{jobId} - 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 numberid- Entry namegene_names- Gene name(s)organism_name- Organismprotein_name- Protein namessequence- Amino acid sequencelength- Sequence lengthgo_*- Gene Ontology annotationscc_*- 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
See /references/api_fields.md for complete field list.
Python Implementation
For programmatic access, use the provided helper script scripts/uniprot_client.py which implements:
search_proteins(query, format)- Search UniProt with any queryget_protein(accession, format)- Retrieve single protein entrymap_ids(ids, from_db, to_db)- Map between identifier typesbatch_retrieve(accessions, format)- Retrieve multiple entriesstream_results(query, format)- Stream large result sets
Alternative Python packages:
- Unipressed: Modern, typed Python client for UniProt REST API
- bioservices: Comprehensive bioinformatics web services client
Query Syntax Examples
Boolean operators:
kinase AND organism_name:human
(diabetes OR insulin) AND reviewed:true
cancer NOT lungField-specific searches:
gene:BRCA1
accession:P12345
organism_id:9606
taxonomy_name:"Homo sapiens"
annotation:(type:signal)Range queries:
length:[100 TO 500]
mass:[50000 TO 100000]Wildcards:
gene:BRCA*
protein_name:kinase*See /references/query_syntax.md for comprehensive syntax documentation.
Best Practices
- Use reviewed entries when possible: Filter with
reviewed:truefor Swiss-Prot (manually curated) entries - Specify format explicitly: Choose the most appropriate format (FASTA for sequences, TSV for tabular data, JSON for programmatic parsing)
- Use field selection: Only request fields you need to reduce bandwidth and processing time
- Handle pagination: For large result sets, implement proper pagination or use the stream endpoint
- Cache results: Store frequently accessed data locally to minimize API calls
- Rate limiting: Be respectful of API resources; implement delays for large batch operations
- Check data quality: TrEMBL entries are computational predictions; Swiss-Prot entries are manually reviewed
Resources
scripts/
uniprot_client.py - Python client with helper functions for common UniProt operations including search, retrieval, ID mapping, and streaming.
references/
api_fields.md- Complete list of available fields for customizing queriesid_mapping_databases.md- Supported databases for ID mapping operationsquery_syntax.md- Comprehensive query syntax with advanced examplesapi_examples.md- Code examples in multiple languages (Python, curl, R)
Additional Resources
- 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)
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