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Query the UniTox drug toxicity database. Use whenever the user asks about organ-system toxicity ratings for a drug, multi-organ toxicity profiles, or wants to look up any entity (drug name, SMILES, SPL_ID) in UniTox.
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 | unitox-query |
| description | Query the UniTox drug toxicity database. Use whenever the user asks about organ-system toxicity ratings for a drug, multi-organ toxicity profiles, or wants to look up any entity (drug name, SMILES, SPL_ID) in UniTox. |
Search UniTox records by any entity. Auto-detects type by pattern:
| Input Pattern | Detected As | Match Logic |
|---|---|---|
b2b3be70-17d8-... (UUID) | SPL_ID | exact on SPL_ID |
long string with =, [, ], @ | SMILES | exact on smiles / all_smiles |
| anything else | free text | case-insensitive substring on generic_name |
| Function | Input | Returns |
|---|---|---|
load_unitox(path) | TSV path | list[dict] (cached) |
search(entity) | single entity string | list[dict] |
search_batch(entities) | list of entity strings | dict[str, list[dict]] |
summarize(hits, entity) | hits + label | compact ratings-only text |
summarize_with_reasoning(hits, entity, systems) | hits + label + organ list | text with truncated reasoning |
to_json(hits) | hits | list[dict] (ratings + metadata) |
list_drugs() | – | sorted list of all drug names |
Each drug has ternary rating (No / Low / High) and binary rating (Yes / No) for:
| System key | Organ |
|---|---|
cardiotoxicity | Heart |
dermatological_toxicity | Skin |
hematological | Blood |
infertility | Reproductive |
liver_toxicity | Liver |
ototoxicity | Ear / Hearing |
pulmonary_toxicity | Lung |
renal_toxicity | Kidney |
See if __name__ == "__main__" block in 28_UniTox.py for runnable examples covering: single drug name search, batch search, JSON output, detailed reasoning for specific organ systems, and total drug count.
generic_name, 8 × (*_reasoning, *_ternary_rating, *_binary_rating), smiles, all_smiles, SPL_IDDATA_PATH variable in 28_UniTox.py