scientific-uniprot-proteome

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

3|1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/nahisaho/satori --skill scientific-uniprot-proteome
Or copy as Structured Prompt for Agent
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.