Tooluniverse Target Research

What it does

The Tooluniverse Target Research skill enables AI agents to rapidly gather comprehensive research data about specific gene targets. It explores nine parallel research paths using ToolUniverse tools, supporting identification by gene symbol, UniProt accession, Ensembl ID, or gene name. The skill emphasizes thoroughness, requiring evidence grading, citation attribution, and documentation of negative results for a complete target intelligence profile.

When to use it

• When users ask about a drug target, protein, or gene.
• For target validation or assessment purposes.
• To request comprehensive target profiling, including target-disease associations and safety profiles.
• When a user asks "what do we know about [target]?"

Key capabilities

• Supports identification of targets using gene symbol, UniProt accession, Ensembl ID, or gene name.
• Explores nine parallel research paths for comprehensive data gathering.
• Requires evidence grading (T1-T4) and inline source attribution for all facts.
• Mandates documentation of negative results ("No data" notes).
• Translates user queries to English before tool calls, using original language as a fallback.

Example prompts

• “What do we know about the EGFR gene?”
• “Can you assess the druggability of protein ABC123?”
• “Give me a comprehensive profile for target UniProt accession P53456.”
• "What are the known disease associations for Ensembl ID ENSG00000141510?"

Tips & gotchas

• Always verify gene names, functions, and disease associations using databases like UniProt or Ensembl before reasoning.
• This skill is not suitable for simple protein lookups, drug-only queries, or disease-centric requests; use specialized skills instead.
• The skill prioritizes English language searches – be aware that translations may occur.