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mecddi-query

Name: Mecddi Query
Author: QSong-github

// Query the MecDDI mechanism-based drug-drug interaction database. Use whenever the user asks about drug-drug interactions, DDI mechanisms (PK/PD), enzyme or transporter-mediated interactions, or wants to look up interacting drug pairs by drug name or MecDDI drug ID. Trigger on keywords like DDI, drug interaction, MecDDI, mechanism-based interaction, pharmacokinetic interaction, pharmacodynamic interaction, or any query involving two drugs that may interact.

Manus에서 실행

$ git log --oneline --stat

stars:136

forks:4

updated:2026년 4월 7일 21:05

파일 탐색기

6 개 파일

SKILL.md

readonly

name

mecddi-query

description

Query the MecDDI mechanism-based drug-drug interaction database. Use whenever the user asks about drug-drug interactions, DDI mechanisms (PK/PD), enzyme or transporter-mediated interactions, or wants to look up interacting drug pairs by drug name or MecDDI drug ID. Trigger on keywords like DDI, drug interaction, MecDDI, mechanism-based interaction, pharmacokinetic interaction, pharmacodynamic interaction, or any query involving two drugs that may interact.

MecDDI Query Skill

Search MecDDI drug-drug interaction records by drug name or drug ID. Auto-detects input type:

Input Pattern	Detected As	Match Logic
`D0123`	MecDDI Drug ID	exact on `A_Drug_ID` / `B_Drug_ID`
anything else	free text	substring on `A_Drug_Name` / `B_Drug_Name`

Mechanism Categories (7 files)

Category	Type
Affected Gastrointestinal Absorption	PK
Affected Cellular Transport	PK
Affected Organization Distribution	PK
Affected Intra/Extra-Hepatic Metabolism	PK
Affected Excretion Pathways	PK
Pharmacodynamic Additive Effects	PD
Pharmacodynamic Antagonistic Effects	PD

API

Function	Input	Returns
`load_mecddi(data_dir)`	directory path	list[dict] (all records)
`search(records, entity)`	single entity string	list[dict]
`search_batch(records, entities)`	list of strings	dict[str, list[dict]]
`summarize(hits, entity)`	hits + label	compact text for LLM
`to_json(hits)`	list[dict]	JSON string

Data

Source: 7 TSV files downloaded from https://mecddi.idrblab.net/download
Path: DATA_DIR variable in 19_MecDDI.py (default: resources_metadata/ddi/MecDDI)
Columns: A_Drug_ID, A_Drug_Name, B_Drug_ID, B_Drug_Name, Mechanism_Category

Usage

See if __name__ == "__main__" block in 19_MecDDI.py for runnable examples covering:

Single drug name → search(data, "Atropine")
Single drug ID → search(data, "D0123")
Batch query → search_batch(data, ["Meclizine", "Isocarboxazid", "D0853"])
JSON output → to_json(hits)
LLM-friendly summary → summarize(hits, entity)

related-skills.json

같은 저장소

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

from "QSong-github/DrugClaw"

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

2026-04-08136

fda-orange-book-query.md

from "QSong-github/DrugClaw"

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.

2026-04-08136

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.

2026-04-08136

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.

2026-04-08136

tarkg.md

from "QSong-github/DrugClaw"

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.

2026-04-08136

package.json

"author": "QSong-github"

"repository": "QSong-github/DrugClaw"

GitHub 저장소 열기 Creator 저장소 보기

$ install --global

$ download --local

Manus에서 실행

$ useful --forSOC

소프트웨어 개발자컴퓨터 및 수학직15-1252L4

name

mecddi-query

description

MecDDI Query Skill

Search MecDDI drug-drug interaction records by drug name or drug ID. Auto-detects input type:

Input Pattern	Detected As	Match Logic
`D0123`	MecDDI Drug ID	exact on `A_Drug_ID` / `B_Drug_ID`
anything else	free text	substring on `A_Drug_Name` / `B_Drug_Name`

Mechanism Categories (7 files)

Category	Type
Affected Gastrointestinal Absorption	PK
Affected Cellular Transport	PK
Affected Organization Distribution	PK
Affected Intra/Extra-Hepatic Metabolism	PK
Affected Excretion Pathways	PK
Pharmacodynamic Additive Effects	PD
Pharmacodynamic Antagonistic Effects	PD

API

Function	Input	Returns
`load_mecddi(data_dir)`	directory path	list[dict] (all records)
`search(records, entity)`	single entity string	list[dict]
`search_batch(records, entities)`	list of strings	dict[str, list[dict]]
`summarize(hits, entity)`	hits + label	compact text for LLM
`to_json(hits)`	list[dict]	JSON string

Data

Source: 7 TSV files downloaded from https://mecddi.idrblab.net/download
Path: DATA_DIR variable in 19_MecDDI.py (default: resources_metadata/ddi/MecDDI)
Columns: A_Drug_ID, A_Drug_Name, B_Drug_ID, B_Drug_Name, Mechanism_Category

Usage

See if __name__ == "__main__" block in 19_MecDDI.py for runnable examples covering:

Single drug name → search(data, "Atropine")
Single drug ID → search(data, "D0123")
Batch query → search_batch(data, ["Meclizine", "Isocarboxazid", "D0853"])
JSON output → to_json(hits)
LLM-friendly summary → summarize(hits, entity)

mecddi-query

MecDDI Query Skill

Mechanism Categories (7 files)

API

Data

Usage

이 저장소의 다른 Skills

이 저장소의 다른 Skills

MecDDI Query Skill

Mechanism Categories (7 files)

API

Data

Usage