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Query a locally downloaded DrugBank database. Use whenever the user asks about drug information, drug targets, drug-drug interactions, drug categories, or wants to look up any entity (DrugBank ID, drug name, CAS number, synonym) in DrugBank.
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 | drugbank-query |
| description | Query a locally downloaded DrugBank database. Use whenever the user asks about drug information, drug targets, drug-drug interactions, drug categories, or wants to look up any entity (DrugBank ID, drug name, CAS number, synonym) in DrugBank. |
Search local DrugBank data by any entity. Auto-detects query type:
| Input Pattern | Detected As | Match Logic |
|---|---|---|
DB00945 | DrugBank ID | exact on drugbank_id |
| anything else | free text | substring on name, synonyms, cas_number |
resources_metadata/drug_knowledgebase/DrugBank/full database.xml — rich fields: description, targets, interactions, categories, synonyms, groupsdrugbank vocabulary.csv — lightweight: DrugBank ID, name, CAS, synonyms| Function | Input | Returns |
|---|---|---|
load(path) | file path (XML or TSV/CSV, auto-detected) | list[dict] |
search(data, entity) | single entity string | list[dict] |
search_batch(data, entities) | list or comma-separated string | dict[str, list[dict]] |
summarize(hits, entity) | hit list + label | compact text |
to_json(hits) | hit list | JSON string |
from 07_DrugBank import load, search, search_batch, summarize, to_json
data = load() # auto-selects XML or CSV
# single query
hits = search(data, "aspirin")
print(summarize(hits, "aspirin"))
# batch query
results = search_batch(data, ["metformin", "DB00316", "ibuprofen"])
for entity, hits in results.items():
print(summarize(hits, entity))
# JSON output
print(to_json(hits[:1]))
See if __name__ == "__main__" block in 07_DrugBank.py for runnable examples.