Do I need a DrugBank account to use this skill?

Yes, you need to create a free account at go.drugbank.com to obtain credentials and accept the license agreement for data access.

Does it support chemical structure searching?

Yes, the skill supports structure-based analysis using SMILES and InChI, including Tanimoto similarity calculations and molecular fingerprinting.

Which Python libraries are required for this skill?

Key requirements include drugbank-downloader, lxml for XML parsing, pandas for data manipulation, and RDKit for chemical informatics.

What is the DrugBank Database skill used for?

It enables Claude to programmatically access and analyze comprehensive drug data, including properties, targets, pathways, and interactions for bioinformatics research.

Can this skill analyze drug-drug interactions?

Yes, it includes specialized capabilities for extracting interaction data, classifying severity, and building interaction networks for pharmacovigilance.

DrugBank Database Analysis

Name: DrugBank Database Analysis
Author: Microck

byMicrock

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データサイエンスとML

Provides programmatic access and comprehensive analysis of the DrugBank database for pharmaceutical research and bioinformatics workflows.

概要

This skill integrates the DrugBank database into Claude Code, enabling researchers and developers to analyze drug properties, interactions, and biological targets directly within their development environment. It facilitates complex tasks such as drug-drug interaction (DDI) analysis, target identification, pathway mapping, and chemical similarity searches using industry-standard tools like RDKit and networkx. Whether you are conducting drug discovery research or building clinical decision support tools, this skill streamlines the process of extracting, parsing, and interpreting pharmacological data from over 9,500 drug entries.

主な機能

Comprehensive drug-drug interaction (DDI) analysis and network mapping
Biological target identification and pathway mapping (SMPDB, UniProt)
Chemical structure analysis including SMILES, InChI, and ADMET predictions
81 GitHub stars
Programmatic XML parsing and data extraction for 200+ drug data fields
Automated database downloading and secure credential management

ユースケース

Pharmacology studies mapping drug metabolism to CYP450 enzymes and transporters
Polypharmacy safety analysis and clinical decision support tool development
Drug discovery and repurposing research through target and similarity analysis

概要

主な機能

Comprehensive drug-drug interaction (DDI) analysis and network mapping
Biological target identification and pathway mapping (SMPDB, UniProt)
Chemical structure analysis including SMILES, InChI, and ADMET predictions
81 GitHub stars
Programmatic XML parsing and data extraction for 200+ drug data fields
Automated database downloading and secure credential management

ユースケース

Pharmacology studies mapping drug metabolism to CYP450 enzymes and transporters
Polypharmacy safety analysis and clinical decision support tool development
Drug discovery and repurposing research through target and similarity analysis