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.
npx skills add LeonChaoX/qinyan-academic-skills --skill drugbank-database --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 - Downloading specific or latest database versions - Opening and parsing XML data efficiently - Working with cached data to optimize performance **When to use**: Setting up DrugBank access, downloading database updates, initial project configuration. **Reference**: See `references/data-access.md` for detailed authentication, download procedures, API access, caching strategies, and troubleshooting. ### 2. Drug Information Queries Extract comprehensive drug information from the database including ident
- Overview
- Core Capabilities
- 1. Data Access and Authentication
- 2. Drug Information Queries
- 3. Drug-Drug Interactions Analysis
- 4. Drug Targets and Pathways
- 5. Chemical Properties and Similarity
- Typical Workflows
- Drug Discovery Workflow
- Polypharmacy Safety Analysis
- Drug Repurposing Research
- Pharmacology Study
- Installation Requirements
- Python Packages
uv pip install drugbank-downloader # Core access uv pip install bioversions # Latest version detection uv pip install lxml # XML parsing optimization uv pip install pandas # Data manipulation uv pip install rdkit # Chemical informatics (for similarity) uv pip install networkx # Network analysis (for interactions) uv pip install scikit-learn # ML/clustering (for chemical space)
What does the drugbank-database skill do?
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.
How do I install it?
Run `npx skills add LeonChaoX/qinyan-academic-skills --skill drugbank-database --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.