scientific-uniprot-proteome

Automate proteome-scale protein search, ID mapping, and annotation via the UniProt REST API.

3|1|Updated Feb 11, 2026

Search Tags:#bioinformatics #annotation #uniprot #id-mapping #protein-search #reference-databases #proteome

Ready to run

npx skills add https://github.com/nahisaho/satori --skill scientific-uniprot-proteome

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scientific-uniprot-proteome
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-uniprot-proteome
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-uniprot-proteome

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

UniProt REST API を活用したタンパク質検索・ID マッピング・配列取得・機能アノテーション・UniRef/UniParc 横断検索を一括で実現するプロテオーム解析スキル。

Core Features & Use Cases

タンパク質の検索とエントリ取得
ID マッピングとクロスデータベース検索
配列・機能アノテーションの取得と横断検索
UniRef/UniParc クラスターを横断したリファレンス探索
ToolUniverse 連携を活用したパイプライン構築

Quick Start

Run a UniProt proteome pipeline to search for proteins, map IDs, and retrieve annotations.

Frequently Asked Questions about scientific-uniprot-proteome

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate UniProt ID mapping for cross-database proteome searches?▼

UniProt ID mapping is automated by submitting identifiers to the UniProt REST API, which cross-references external databases and returns matched UniProt entries for proteome analysis.

Can I retrieve functional annotation and sequences for a specific organism using UniProt?▼

Yes, you can retrieve functional annotation and protein sequences by configuring the organism parameter within the UniProt REST API search query to filter proteome-scale results.

What is the best way to extract functional annotation across UniRef and UniParc?▼

Functional annotation is extracted across UniRef and UniParc by utilizing the REST endpoints to perform cross-cluster reference exploration, retrieving clustered sequence data and functional insights.

Does this proteome analysis approach support configurable output formats?▼

Yes, the UniProt REST API integration supports configurable output formats, allowing you to tailor the extracted protein search results and annotation data to your pipeline requirements.

How do I run a proteome pipeline for protein search and annotation retrieval?▼

You run a proteome pipeline by executing the integrated workflow, which sequentially handles protein search, ID mapping, and annotation retrieval via the UniProt REST API endpoints.

Are there limitations when performing proteome-scale protein searches via the UniProt REST API?▼

Proteome-scale protein searches via the UniProt REST API are subject to endpoint rate limits and query size constraints, requiring batch processing for large cross-database mapping tasks.