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drugmechdb-query

Name: Drugmechdb Query
Author: QSong-github

// Query the DrugMechDB drug mechanism-of-action database. Use whenever the user asks about drug mechanisms, drug-to-disease paths, biological targets of a drug, or wants to look up any biomedical entity (drug name, protein, disease, DrugBank ID, MESH ID, UniProt ID, GO term, etc.) in DrugMechDB.

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stars:136

forks:4

updated:7 avril 2026 à 21:05

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6 fichiers

SKILL.md

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name	drugmechdb-query
description	Query the DrugMechDB drug mechanism-of-action database. Use whenever the user asks about drug mechanisms, drug-to-disease paths, biological targets of a drug, or wants to look up any biomedical entity (drug name, protein, disease, DrugBank ID, MESH ID, UniProt ID, GO term, etc.) in DrugMechDB.

DrugMechDB Query Skill

Search drug mechanism-of-action paths by entity name or ID. Each path is a directed graph: Drug → (intermediates) → Disease, with typed nodes and labeled edges.

Data

Source: indication_paths.json
Path: resources_metadata/drug_mechanism/DRUGMECHDB/indication_paths.json
Records: ~4846 mechanism paths, ~32k relationships

Entity auto-detection

Input pattern	Detected as	Example
`DB:DB00619`	DrugBank ID	exact on node/graph IDs
`MESH:D015464`	MESH ID	exact on node/graph IDs
`UniProt:P00519`	UniProt protein	exact on node IDs
`GO:0006915`	GO term	exact on node IDs
`CHEBI:`, `HP:`, `UBERON:`, `CL:`, `reactome:`, `InterPro:`, `PR:`, `taxonomy:`	respective types	exact on node IDs
anything else	free text	substring match on drug/disease/node names

API

Function	Signature	Returns
`load(path)`	path to JSON	`list[dict]` — full database
`build_index(db)`	loaded db	`(by_id, by_name, by_drug, by_disease)` dicts for O(1) lookup
`search(db, entity, index=None)`	single query string	`list[dict]` — matching paths
`search_batch(db, entities, index=None)`	list of query strings	`dict[str, list[dict]]`
`summarize(paths, entity)`	search results	compact multi-line text
`to_json(paths)`	search results	list of flat dicts (id, drug, disease, nodes, links)

Node types (14)

BiologicalProcess, Cell, CellularComponent, ChemicalSubstance, Disease, Drug, GeneFamily, GrossAnatomicalStructure, MacromolecularComplex, MolecularActivity, OrganismTaxon, Pathway, PhenotypicFeature, Protein

Quick usage

import drugmechdb_query as dq

db = dq.load()  # uses default DATA_PATH
idx = dq.build_index(db)  # optional, recommended for repeated queries

# Single query — by name or ID
paths = dq.search(db, "imatinib", idx)
paths = dq.search(db, "UniProt:P00519", idx)
paths = dq.search(db, "MESH:D003920", idx)
print(dq.summarize(paths, "imatinib"))

# Batch query
results = dq.search_batch(db, ["metformin", "MESH:D003920", "asthma"], idx)
for entity, paths in results.items():
    print(dq.summarize(paths, entity))

# JSON export
print(dq.to_json(paths))

Output structure per path

graph:  { _id, drug, disease, drugbank, drug_mesh, disease_mesh }
nodes:  [{ id, label, name }, ...]
links:  [{ source, target, key }, ...]

key examples: decreases activity of, causes, positively regulates, treats, increases expression of, etc. (66 relation types total).

related-skills.json

même dépôt

drugcomb.md

from "QSong-github/DrugClaw"

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.

2026-04-08136

drugcombdb-query.md

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

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fda-orange-book-query.md

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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.

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repurposedrugs-query.md

from "QSong-github/DrugClaw"

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.

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gdkd-query.md

from "QSong-github/DrugClaw"

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.

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tarkg.md

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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.

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package.json

"author": "QSong-github"

"repository": "QSong-github/DrugClaw"

Ouvrir le dépôt GitHub Voir les dépôts du créateur

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$ download --local

Exécuter dans Manus

$ useful --forSOC

Développeurs de logicielsProfessions informatiques et mathématiques15-1252L4

name	drugmechdb-query
description	Query the DrugMechDB drug mechanism-of-action database. Use whenever the user asks about drug mechanisms, drug-to-disease paths, biological targets of a drug, or wants to look up any biomedical entity (drug name, protein, disease, DrugBank ID, MESH ID, UniProt ID, GO term, etc.) in DrugMechDB.

DrugMechDB Query Skill

Search drug mechanism-of-action paths by entity name or ID. Each path is a directed graph: Drug → (intermediates) → Disease, with typed nodes and labeled edges.

Data

Source: indication_paths.json
Path: resources_metadata/drug_mechanism/DRUGMECHDB/indication_paths.json
Records: ~4846 mechanism paths, ~32k relationships

Entity auto-detection

Input pattern	Detected as	Example
`DB:DB00619`	DrugBank ID	exact on node/graph IDs
`MESH:D015464`	MESH ID	exact on node/graph IDs
`UniProt:P00519`	UniProt protein	exact on node IDs
`GO:0006915`	GO term	exact on node IDs
`CHEBI:`, `HP:`, `UBERON:`, `CL:`, `reactome:`, `InterPro:`, `PR:`, `taxonomy:`	respective types	exact on node IDs
anything else	free text	substring match on drug/disease/node names

API

Function	Signature	Returns
`load(path)`	path to JSON	`list[dict]` — full database
`build_index(db)`	loaded db	`(by_id, by_name, by_drug, by_disease)` dicts for O(1) lookup
`search(db, entity, index=None)`	single query string	`list[dict]` — matching paths
`search_batch(db, entities, index=None)`	list of query strings	`dict[str, list[dict]]`
`summarize(paths, entity)`	search results	compact multi-line text
`to_json(paths)`	search results	list of flat dicts (id, drug, disease, nodes, links)

Node types (14)

Quick usage

import drugmechdb_query as dq

db = dq.load()  # uses default DATA_PATH
idx = dq.build_index(db)  # optional, recommended for repeated queries

# Single query — by name or ID
paths = dq.search(db, "imatinib", idx)
paths = dq.search(db, "UniProt:P00519", idx)
paths = dq.search(db, "MESH:D003920", idx)
print(dq.summarize(paths, "imatinib"))

# Batch query
results = dq.search_batch(db, ["metformin", "MESH:D003920", "asthma"], idx)
for entity, paths in results.items():
    print(dq.summarize(paths, entity))

# JSON export
print(dq.to_json(paths))

Output structure per path

graph:  { _id, drug, disease, drugbank, drug_mesh, disease_mesh }
nodes:  [{ id, label, name }, ...]
links:  [{ source, target, key }, ...]

key examples: decreases activity of, causes, positively regulates, treats, increases expression of, etc. (66 relation types total).

drugmechdb-query

DrugMechDB Query Skill

Data

Entity auto-detection

API

Node types (14)

Quick usage

Output structure per path

Plus depuis ce dépôt

DrugMechDB Query Skill

Data

Entity auto-detection

API

Node types (14)

Quick usage

Output structure per path

Plus depuis ce dépôt