How do I install the DrugRepoBank-query skill?

Run npx skillmds@latest add gabrielmoreira/drugrepobank-query in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is DrugRepoBank-query safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with DrugRepoBank-query?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is DrugRepoBank-query free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published DrugRepoBank-query?

gabrielmoreira (@gabrielmoreira) published this skill. Their other Agent Skills are listed on their SkillMD profile.

DrugRepoBank-query by gabrielmoreira

Name: DrugRepoBank-query
Rating: 4.2 (5 reviews)
Author: gabrielmoreira

DrugRepoBank-query

Query the DrugRepoBank drug repurposing evidence database. Use whenever the user asks about repurposing candidates, drug–disease–target repurposing evidence, or wants to look up any entity (drug name, DrugBank ID, ChEMBL ID, PubChem CID, TTD target ID, UniProt ID, disease name) in DrugRepoBank.

gabrielmoreira Updated Sep 9, 2026 17 repo stars

File contents

DrugRepoBank Query Skill

Search four linked tables (Drug, Target, DrugTargetInteraction, Literature) for repurposing evidence. Auto-detects entity type by prefix:

Input Pattern	Detected As	Example
`DB00945`	DrugBank ID	exact on `DrugBank_ID` / `DrugID`
`T47101`	TTD Target ID	exact on `TargetID`
`FGFR1_HUMAN`	UniProt ID	exact on `UniprotID`
`CHEMBL2103749`	ChEMBL ID	exact on `ChEMBL ID` in Drug table
`16129704` (digits)	PubChem CID	exact on `PubChem_Compound_ID` / `PubChemID`
anything else	free text	substring on drug Name, TargetName, Disease, NewDisease

API

Function	Input	Returns
`load_all()`	—	`dict` with keys `drug`, `dti`, `lit`, `target` (lists of row-dicts)
`search(tables, entity)`	tables dict + single entity string	`dict` with keys `entity`, `entity_type`, `drug`, `target`, `dti`, `literature`
`search_batch(tables, entities)`	tables dict + list of entity strings	`dict[str, search_result]`
`summarize(result)`	single `search()` result	compact one-line LLM-readable text
`to_json(result)`	single `search()` result	JSON string (trimmed heavy fields)

Usage

See if __name__ == "__main__" block in 42_DrugRepoBank.py for runnable examples covering: drug name, DrugBank ID, TTD target ID, UniProt ID, ChEMBL ID, disease free-text, batch search, and JSON output.

Data

Four CSV tables in DATA_DIR:

File	Key Columns	Description
`Drug.csv`	DrugBank_ID, Name, Drug Groups, PubChem_Compound_ID, ChEMBL ID, SMILES	Drug identifiers & structures
`DrugTargetInteraction.csv`	UniprotID, PubchemID, TargetID, DrugID, Highest_status, MOA	Drug–target links with mechanism of action
`Literature.csv`	DrugName, DrugID, Target, Disease, NewDisease, Evidence, Insilico, Invitro, Invivo, Clinicaltrial, PMID	Repurposing evidence & literature references
`Targets.csv`	TargetID, UniprotID, TargetName, TargetGeneName, TargetType, Function	Target annotations & pathway memberships

Path: DATA_DIR variable in 42_DrugRepoBank.py
(resources_metadata/drug_repurposing/DrugRepoBank)
Source: https://awi.cuhk.edu.cn/DrugRepoBank/php/index.php
Paper: Huang et al., Database 2024, baae051. DOI:10.1093/database/baae051

---name: drugrepobank-querydescription: Query the DrugRepoBank drug repurposing evidence database. Use whenever the user asks about repurposing candidates, drug–disease–target repurposing evidence, or wants to look up any entity (drug name, DrugBank ID, ChEMBL ID, PubChem CID, TTD target ID, UniProt ID, disease name) in DrugRepoBank.--- # DrugRepoBank Query Skill Search four linked tables (Drug, Target, DrugTargetInteraction, Literature) for repurposing evidence. Auto-detects entity type by prefix: | Input Pattern | Detected As | Example | |---|---|---| | `DB00945` | DrugBank ID | exact on `DrugBank_ID` / `DrugID` | | `T47101` | TTD Target ID | exact on `TargetID` | | `FGFR1_HUMAN` | UniProt ID | exact on `UniprotID` | | `CHEMBL2103749` | ChEMBL ID | exact on `ChEMBL ID` in Drug table | | `16129704` (digits) | PubChem CID | exact on `PubChem_Compound_ID` / `PubChemID` | | anything else | free text | substring on drug Name, TargetName, Disease, NewDisease | ## API | Function | Input | Returns | |---|---|---| | `load_all()` | — | `dict` with keys `drug`, `dti`, `lit`, `target` (lists of row-dicts) | | `search(tables, entity)` | tables dict + single entity string | `dict` with keys `entity`, `entity_type`, `drug`, `target`, `dti`, `literature` | | `search_batch(tables, entities)` | tables dict + list of entity strings | `dict[str, search_result]` | | `summarize(result)` | single `search()` result | compact one-line LLM-readable text | | `to_json(result)` | single `search()` result | JSON string (trimmed heavy fields) | ## Usage See `if __name__ == "__main__"` block in `42_DrugRepoBank.py` for runnable examples covering: drug name, DrugBank ID, TTD target ID, UniProt ID, ChEMBL ID, disease free-text, batch search, and JSON output. ## Data Four CSV tables in `DATA_DIR`: | File | Key Columns | Description | |---|---|---| | `Drug.csv` | DrugBank_ID, Name, Drug Groups, PubChem_Compound_ID, ChEMBL ID, SMILES | Drug identifiers & structures | | `DrugTargetInteraction.csv` | UniprotID, PubchemID, TargetID, DrugID, Highest_status, MOA | Drug–target links with mechanism of action | | `Literature.csv` | DrugName, DrugID, Target, Disease, NewDisease, Evidence, Insilico, Invitro, Invivo, Clinicaltrial, PMID | Repurposing evidence & literature references | | `Targets.csv` | TargetID, UniprotID, TargetName, TargetGeneName, TargetType, Function | Target annotations & pathway memberships | - **Path**: `DATA_DIR` variable in `42_DrugRepoBank.py` (`resources_metadata/drug_repurposing/DrugRepoBank`) - **Source**: https://awi.cuhk.edu.cn/DrugRepoBank/php/index.php - **Paper**: Huang et al., *Database* 2024, baae051. DOI:10.1093/database/baae051

Frequently asked questions