Fetch protein sequences and annotations from the UniProt REST API.
npx skills add https://github.com/adaptyvbio/protein-design-skills --skill uniprot
Please help me install this Agent Skill. Skill: uniprot Source: https://github.com/adaptyvbio/protein-design-skills/tree/main/skills/uniprot Command: npx skills add https://github.com/adaptyvbio/protein-design-skills --skill uniprot
This skill enables researchers and developers to quickly retrieve protein sequences and functional annotations from UniProt, streamlining data lookup and cross-referencing related resources.
Use curl or Python requests to fetch data from the UniProt REST API, for example: curl "https://rest.uniprot.org/uniprotkb/P00533.fasta" and/or curl "https://rest.uniprot.org/uniprotkb/P00533.json"
High-intent search queries and answers about installing and using this skill.
To fetch a protein sequence, query the UniProt REST API endpoint with your accession number, such as requesting the fasta format for a specific entry. This retrieves the exact amino acid sequence needed for your analysis.
Yes, you can retrieve protein domain boundaries and functional annotations by requesting the JSON format from the UniProt REST API. This provides functional descriptions, domain details, and variant information for the target protein.
You can find related PDB structures by extracting cross-references from the UniProt JSON response. The API provides associated PDB structure references to support integrated protein design and analysis workflows.
No external dependencies are required to access the UniProt REST API. You can use standard HTTP requests via curl or Python to fetch sequences and annotations directly without installing additional libraries.
The best way to populate a local database is to script automated HTTP requests to the UniProt REST API. You can pipeline these requests to fetch sequences and annotations systematically for local storage.
Yes, you can use curl to query UniProt by requesting endpoints like the uniprotkb database in fasta or json format. This returns the protein sequence and its functional annotations directly in your terminal.
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