Individual skill
drugbank-database
Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.
skills/12-科学数据库/drugbank-database/SKILL.md
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- Last checked
- Nov 10, 2026
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- Repository last updated
- Jul 20, 2026
- License
- MIT
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SKILL.mdcore · 9,398 bytesSKILL.mdcore · 9,398 bytesSKILL.mdcore · 9,398 bytesreferences/chemical-analysis.mddoc · 19,413 bytesreferences/data-access.mddoc · 6,062 bytesreferences/drug-queries.mddoc · 11,772 bytesreferences/interactions.mddoc · 13,794 bytesreferences/targets-pathways.mddoc · 18,253 bytesscripts/drugbank_helper.pyruns · 11,822 bytes
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# DrugBank Database
## Overview
DrugBank is a comprehensive bioinformatics and cheminformatics database containing detailed information on drugs and drug targets. This skill enables programmatic access to DrugBank data including ~9,591 drug entries (2,037 FDA-approved small molecules, 241 biotech drugs, 96 nutraceuticals, and 6,000+ experimental compounds) with 200+ data fields per entry.
## Core Capabilities
### 1. Data Access and Authentication
Download and access DrugBank data using Python with proper authentication. The skill provides guidance on:
- Installing and configuring the `drugbank-downloader` package
- Managing credentials securely via environment variables or config files