Can I filter for manually reviewed protein data?

Yes, you can specifically search for high-quality, manually curated Swiss-Prot entries by including 'reviewed:true' in your search query.

Can I map identifiers from other databases like Ensembl or PDB?

Yes, the ID mapping functionality supports mapping between UniProtKB and many external databases, including Ensembl, RefSeq, PDB, AlphaFoldDB, and KEGG.

How does this skill handle large datasets?

It utilizes the UniProt stream endpoint for large queries that exceed standard pagination limits, making it suitable for downloading complete datasets for large-scale analysis.

What formats are supported for protein sequence retrieval?

The skill supports a wide range of formats including FASTA, JSON, TSV, Excel, XML, RDF, and plain text.

UniProt Protein Database

Name: UniProt Protein Database
Author: jimmc414

byjimmc414

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324

Ciencia de Datos y ML

Accesses the world's leading protein sequence and functional information resource via the UniProt REST API.

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The UniProt Database skill enables Claude to interact directly with the UniProt Knowledgebase, providing comprehensive tools for searching protein entries by name, gene symbol, or accession. It facilitates the retrieval of protein sequences in multiple formats, including FASTA, and allows for sophisticated ID mapping between UniProt and dozens of external biological databases like PDB, Ensembl, and RefSeq. Designed for researchers and developers in bioinformatics and drug discovery, this skill streamlines scientific data gathering, supports batch processing of up to 100,000 IDs, and provides access to both manually curated Swiss-Prot and computationally predicted TrEMBL annotations.

Características Principales

Customizable field selection for optimized and efficient data transfer
Comprehensive protein search by gene name, accession, organism, or taxonomy
High-performance sequence retrieval in FASTA, JSON, and TSV formats
Automated ID mapping between UniProt and 40+ external biological databases
Support for streaming large protein datasets for autonomous discovery workflows
324 GitHub stars

Casos de Uso

Automated bioinformatics workflows for drug target identification and analysis
Retrieving functional annotations and Gene Ontology (GO) terms for protein-protein interaction studies
Batch mapping protein identifiers between genomic and proteomic databases

Acerca de

Características Principales

Customizable field selection for optimized and efficient data transfer
Comprehensive protein search by gene name, accession, organism, or taxonomy
High-performance sequence retrieval in FASTA, JSON, and TSV formats
Automated ID mapping between UniProt and 40+ external biological databases
Support for streaming large protein datasets for autonomous discovery workflows
324 GitHub stars

Casos de Uso

Automated bioinformatics workflows for drug target identification and analysis
Retrieving functional annotations and Gene Ontology (GO) terms for protein-protein interaction studies
Batch mapping protein identifiers between genomic and proteomic databases