メニュー
Query the RepoDB drug repurposing database. Use whenever the user asks about drug-disease associations, drug repurposing candidates, or wants to look up any entity (drug name, indication, DrugBank ID, UMLS CUI, NCT ID) in RepoDB.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Query the DrugComb drug combination database for cancer cell-line synergy and sensitivity data. Use whenever the user asks about drug combinations, synergy scores (ZIP/Bliss/Loewe/HSA), combination sensitivity (CSS), or wants to look up how two drugs interact in a specific cancer cell line.
Query canonical DrugCombDB combination records. Use when the user asks about drug pairs, synergy values, or cell-line-specific combination evidence.
Query or inspect the FDA Orange Book - FDA-Approved Drug Products Listing resource for drug-centric tasks with emphasis on drug knowledgebase Use whenever Codex needs the calling pattern, downloadable entrypoint, or example query flow from this skill example script.
Query the RepurposeDrugs single-agent drug repurposing database. Use whenever the user asks about drug-disease repurposing associations, clinical trial phases for repurposed drugs, or wants to look up any entity (drug name, disease name, NCT ID) in RepurposeDrugs.
Query the Gene-Drug Knowledge Database (GDKD) for variant-specific gene–drug associations in oncology. Use when the user asks about cancer genomic biomarkers, drug sensitivity/resistance by gene or variant, targetable mutations, or clinical evidence for cancer therapeutics.
Query canonical TarKG drug-target triplets. Use when the user asks about drug-target interactions, relation labels, disease/pathway context, or quick lookups for drugs/targets in TarKG.
| name | repodb-query |
| description | Query the RepoDB drug repurposing database. Use whenever the user asks about drug-disease associations, drug repurposing candidates, or wants to look up any entity (drug name, indication, DrugBank ID, UMLS CUI, NCT ID) in RepoDB. |
Search RepoDB records by any entity. Auto-detects type by prefix:
| Input Pattern | Detected As | Match Logic |
|---|---|---|
DB00584 | DrugBank ID | exact on drugbank_id |
C0020538 | UMLS CUI | exact on ind_id |
NCT00001234 | Trial ID | exact on NCT |
| anything else | free text | substring on drug_name OR ind_name |
| Function | Input | Returns |
|---|---|---|
load_repodb(path) | CSV path | DataFrame |
search(df, entity) | single entity string | DataFrame |
search_batch(df, entities) | list of entity strings | dict[str, DataFrame] |
summarize(hits, entity) | DataFrame + label | compact text |
to_json(hits) | DataFrame | list[dict] |
See if __name__ == "__main__" block in repodb_query.py for runnable examples covering: drug name, DrugBank ID, UMLS CUI, indication name, batch search, and JSON output.
full.csv (comma or tab separated, auto-detected)drug_name, drugbank_id, ind_name, ind_id, NCT, status, phase, DetailedStatusDATA_PATH variable in repodb_query.py