# Drugcombdb Query

> Query canonical DrugCombDB combination records. Use when the user asks about drug pairs, synergy values, or cell-line-specific combination evidence.

- Skill: `gabrielmoreira/drugcombdb-query` (Agent Skill, multi-file: 6 files)
- Install (CLI): `npx skillmds@latest add gabrielmoreira/drugcombdb-query`
- Raw SKILL.md: https://api.skillmd.com/api/skills/gabrielmoreira/drugcombdb-query/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: gabrielmoreira (https://skillmd.com/u/gabrielmoreira)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/gabrielmoreira/drugcombdb-query

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# DrugCombDB Query Skill

Query canonical packaged DrugCombDB CSV rows.

## Data

- Path: `resources_metadata/drug_combination/DrugCombDB/drugcombdb.csv`
- Columns: `Drug1`, `Drug2`, `Cell`, `Synergy`, `SynergyType`, `PMID`

## API

| Function | Input | Returns |
|---|---|---|
| `load_data(path)` | CSV path | `list[dict]` |
| `search_drug(drug_name, limit)` | drug name | `list[dict]` |
| `search_cell_line(cell, limit)` | cell line | `list[dict]` |
| `search_drug_pair(drug1, drug2, limit)` | drug pair | `list[dict]` |
| `search(entity, limit)` | free text | `list[dict]` |
| `search_batch(entities, limit)` | list of strings | `dict[str, list[dict]]` |
| `summarize(results, entity)` | rows + label | compact text |

## Usage

Run `example.py` directly for canonical-path demos.