Can this skill perform chemical similarity searches?

Yes, it provides guidance on using RDKit to calculate Tanimoto similarity, generate molecular fingerprints, and perform substructure searches across the database.

Is this skill useful for drug repurposing?

Yes, it specifically includes workflows for finding drugs with shared targets or structural similarities to help identify new therapeutic uses for existing compounds.

Does it support drug-drug interaction (DDI) analysis?

Absolutely. The skill includes capabilities to extract interaction networks, classify them by severity, and calculate risk scores for polypharmacy regimens.

Do I need a DrugBank account to use this skill?

Yes, you must create a free account at go.drugbank.com to obtain credentials, as the skill uses the drugbank-downloader package to fetch database updates.

What kind of drug data can I access with this skill?

You can access detailed information on nearly 10,000 drugs, including chemical properties (SMILES/InChI), pharmacology, mechanism of action, drug-drug interactions, and protein targets.

DrugBank Pharmaceutical Intelligence

Name: DrugBank Pharmaceutical Intelligence
Author: Activer007

byActiver007

Data Science & ML

Accesses and analyzes comprehensive drug data including properties, interactions, targets, and chemical structures from the DrugBank database.

About

This skill empowers researchers and developers to programmatically interact with the DrugBank database, providing detailed insights into over 9,000 drug entries including FDA-approved small molecules and experimental compounds. It streamlines pharmaceutical workflows by facilitating drug-drug interaction analysis, target identification, biological pathway mapping, and chemical similarity searches. Whether conducting drug discovery research, performing pharmacovigilance studies, or building clinical decision support tools, this skill provides the implementation patterns and automation needed to handle complex bioinformatics and cheminformatics data within Claude.

Key Features

Comprehensive drug profiling including pharmacology and ADME properties
Programmatic data access and automated downloading from DrugBank
Advanced drug-drug interaction (DDI) analysis and risk scoring
Mapping of drug-protein interactions, enzymes, and biological pathways
0 GitHub stars
Chemical structure analysis and molecular similarity searching with RDKit

Use Cases

Drug discovery and repurposing research identifying shared targets
Bioinformatics pipeline development for pharmaceutical data processing
Clinical safety analysis and polypharmacy interaction monitoring

About

Key Features

Comprehensive drug profiling including pharmacology and ADME properties
Programmatic data access and automated downloading from DrugBank
Advanced drug-drug interaction (DDI) analysis and risk scoring
Mapping of drug-protein interactions, enzymes, and biological pathways
0 GitHub stars
Chemical structure analysis and molecular similarity searching with RDKit

Use Cases

Drug discovery and repurposing research identifying shared targets
Bioinformatics pipeline development for pharmaceutical data processing
Clinical safety analysis and polypharmacy interaction monitoring