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Query the DDInter drug-drug interaction database. Use whenever the user asks about drug-drug interactions, DDI severity levels, or wants to look up interactions for a drug name or DDInter ID.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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 | DDInter |
| description | Query the DDInter drug-drug interaction database. Use whenever the user asks about drug-drug interactions, DDI severity levels, or wants to look up interactions for a drug name or DDInter ID. |
Search DDInter interaction records by drug name or DDInter ID. Auto-detects input type:
| Input Pattern | Detected As | Match Logic |
|---|---|---|
DDInter582 | DDInter ID | exact on DDInterID_A or DDInterID_B |
| anything else | drug name | exact then substring on Drug_A / Drug_B |
| Function | Input | Returns |
|---|---|---|
search(entity) | drug name or DDInter ID | list[dict] |
search_batch(entities) | list of entity strings | dict[str, list[dict]] |
get_interactions_between(drug_a, drug_b) | two drug names | list[dict] |
summarize(hits, entity) | hit list + label | compact text |
to_json(hits) | hit list | list[dict] |
list_drugs() | — | sorted unique drug names |
See if __name__ == "__main__" block in 20_DDInter.py for runnable examples covering: single drug search, DDInter ID lookup, pairwise interaction check, batch search, and JSON output.
Each interaction row contains: DDInterID_A, Drug_A, DDInterID_B, Drug_B, Level (Major / Moderate / Minor).
ddinter_downloads_code_{A,B,D,H,L,P,R,V}.csv)resources_metadata/ddi/DDInter/