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Dgidb

Skill BioTender-max/awesome-bio-agent-skills/skills/drugclaw/dgidb

Query the DGIdb (Drug-Gene Interaction Database) for drug-gene interactions, gene druggability categories, and drug target information. Use whenever the user asks about drug targets, druggable genes, gene-drug interactions, or wants to look up any entity (gene name, drug name, druggability category) in DGIdb.From its SKILL.md

Install
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill dgidb

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SKILL.md

2.3 KB, 575 tokens by cl100k_base, as published. Nobody here has run it

DGIdb Query Skill

Search DGIdb records by any entity. Auto-detects type by naming convention:

Input PatternDetected AsExample
ALL-CAPS ≤15 charsGeneEGFR, BRAF, TP53
Known category keywordDruggability categoryclinically actionable, kinase
Anything elseDrugimatinib, erlotinib

Supported category keywords: clinically actionable, drug resistance, druggable genome, tumor suppressor, transcription factor, kinase, g protein coupled receptor, hormone activity, ion channel, protease, dna repair.

API

FunctionInputReturns
search(entity)single entity stringlist[dict]
search_batch(entities)list of entity stringsdict[str, list[dict]]
summarize(results, entity)result list + labelcompact text for LLM
to_json(results)result listlist[dict] (passthrough)

Key Fields

Gene result: name, long_name, categories, interaction_count, interactions[] (each with drug, drug_concept_id, score, types, directionality, attributes, pmids, sources).

Drug result: name, concept_id, approval_ratings, interaction_count, interactions[] (each with gene, gene_long_name, score, types, directionality, attributes, pmids, sources).

Category result: category, gene_count, genes[] (each with name, long_name).

Usage

See if __name__ == "__main__" block in 16_DGIdb.py for runnable examples covering: single gene, single drug, category, batch (mixed types), and JSON output.

Data Source

  • Database: DGIdb v5.0 — Drug-Gene Interaction Database
  • Endpoint: https://dgidb.org/api/graphql (GraphQL, no API key)
  • Coverage: 40+ source databases, ~100 k drug-gene interactions
  • Paper: Freshour et al., Nucleic Acids Res. 2024; 52(D1):D1227-D1235. DOI: 10.1093/nar/gkac1046

What ships with it: 5 files

19.8 KB alongside SKILL.md, 4 of them executable

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