uniprot-database

You can retrieve protein sequences in FASTA format from UniProt by using this Skill to query the UniProt REST API, fetching sequence data programmatically via Python scripting or direct HTTP requests.

Yes, you can map protein identifiers between UniProt and other biological databases. This Skill performs cross-database ID mapping by submitting identifiers to the UniProt REST API endpoint.

The best way to search for human proteins by Gene Ontology term is to use this Skill to query the UniProt API, filtering entries by functional annotations to retrieve matching proteins and their sequences.

Yes, UniProt protein data retrieval requires the requests library. This Skill depends on the requests Python package to handle direct HTTP requests to the UniProt REST API for accessing entries and annotations.

You access detailed protein annotations programmatically by integrating this Skill into your Python bioinformatics workflows, sending targeted API requests to fetch UniProt entries rich in functional data.

Limitations of using the UniProt REST API for sequence retrieval include dependence on internet connectivity and the requests library, as this Skill does not cache data locally or support offline database access.