Do I need a DrugBank account to use this skill?

Yes, you need to create an account at go.drugbank.com to obtain the necessary credentials for downloading the database XML files.

Is the DrugBank data free to use?

DrugBank is generally free for academic and non-commercial research, but requires a paid license for commercial applications. Users should verify their license status with DrugBank.

Does it support chemical structure analysis?

Absolutely. It integrates with RDKit to perform structure-based analysis, including SMILES extraction, Tanimoto similarity calculations, and molecular fingerprints.

Can this skill predict drug-drug interactions?

Yes, the skill provides capabilities to extract, classify, and analyze drug-drug interactions including mechanism, clinical significance, and severity levels.

DrugBank Database Analysis

Name: DrugBank Database Analysis
Author: BbgnsurfTech

byBbgnsurfTech

•

データサイエンスとML

Accesses and analyzes comprehensive pharmaceutical data from DrugBank for research, drug discovery, and interaction analysis.

概要

This skill provides Claude with programmatic access to the DrugBank database, enabling deep dives into over 9,500 drug entries including FDA-approved molecules and experimental compounds. It streamlines complex workflows for drug-drug interaction (DDI) analysis, target identification, and chemical similarity searches by integrating specialized Python libraries like drugbank-downloader and RDKit. Whether you are conducting pharmacovigilance research or exploring drug repurposing, this skill provides the structured guidance and implementation patterns needed to extract actionable insights from rich bioinformatics and pharmacology data.

主な機能

Advanced drug-drug interaction (DDI) analysis and clinical risk scoring
Chemical similarity searches and molecular property calculations with RDKit
3 GitHub stars
Target identification and biological pathway mapping via SMPDB and UniProt
Programmatic access to 9,500+ drug entries and 200+ detailed data fields
Automated ADMET prediction and pharmacokinetics profiling tools

ユースケース

Drug repurposing studies using structural similarity and shared targets
Drug discovery research and protein target identification
Clinical decision support and polypharmacy safety analysis

概要

主な機能

Advanced drug-drug interaction (DDI) analysis and clinical risk scoring
Chemical similarity searches and molecular property calculations with RDKit
3 GitHub stars
Target identification and biological pathway mapping via SMPDB and UniProt
Programmatic access to 9,500+ drug entries and 200+ detailed data fields
Automated ADMET prediction and pharmacokinetics profiling tools

ユースケース

Drug repurposing studies using structural similarity and shared targets
Drug discovery research and protein target identification
Clinical decision support and polypharmacy safety analysis