菜单
Query the DILIrank/FDA Liver Toxicity Knowledge Base (LTKB). Use whenever the user asks about drug-induced liver injury (DILI) risk, hepatotoxicity classification, or wants to look up any drug (by name, LTKB ID, or DILIst ID) in the DILIrank or DILIst datasets.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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 | 48_LTKB |
| description | Query the DILIrank/FDA Liver Toxicity Knowledge Base (LTKB). Use whenever the user asks about drug-induced liver injury (DILI) risk, hepatotoxicity classification, or wants to look up any drug (by name, LTKB ID, or DILIst ID) in the DILIrank or DILIst datasets. |
Search FDA LTKB records (DILIrank 2.0 + DILIst) by any entity. Auto-detects type by pattern:
| Input Pattern | Detected As | Searched In |
|---|---|---|
LT00040 | LTKB ID | DILIrank only |
2 (digits) | DILIst ID | DILIst only |
| anything else | drug name | both datasets (substring) |
DILIrank 2.0 — 1,036 FDA-approved drugs ranked by DILI concern:
| vDILI-Concern | Meaning |
|---|---|
| vMOST-DILI-concern | Strong evidence of causing DILI |
| vLess-DILI-concern | Some evidence of causing DILI |
| vNo-DILI-concern | No credible evidence |
| vAmbiguous-DILI-concern | Conflicting/insufficient evidence |
Columns: LTKBID, CompoundName, SeverityClass, LabelSection, vDILI-Concern, Comment
DILIst — 1,279 drugs classified by DILI severity:
| Classification | Meaning |
|---|---|
| 1 | DILI-positive |
| 0 | DILI-negative |
Columns: DILIST_ID, CompoundName, DILIst Classification, Routs of Administration
| Function | Input | Returns |
|---|---|---|
load_all(rank_path, list_path) | Excel paths | {"dilirank": [...], "dilist": [...]} |
search(data, entity) | data dict + entity string | {"entity", "type", "dilirank": [], "dilist": []} |
search_batch(data, entities) | data dict + list of strings | {entity: search_result} |
summarize(result, entity) | search result + label | compact text |
to_json(result) | search result | JSON string |
See if __name__ == "__main__" block in 48_LTKB.py for runnable examples covering: drug name, LTKB ID, DILIst ID, batch search, and JSON output.
Drug Induced Liver Injury Rank (DILIrank 2.0) Dataset FDA.xlsx, DILIst Supplementary Table.xlsxDATA_DIR variable in 48_LTKB.py