How does this skill access DrugBank data?

It utilizes the drugbank-downloader Python package to securely authenticate and download XML data directly from the official DrugBank repository for parsing.

Is the interaction data suitable for clinical use?

While the skill provides detailed drug-drug interaction mechanisms and severity scores, it is intended for research and should be validated by clinical professionals.

Can I perform chemical structure searches with this skill?

Yes, the skill includes capabilities for molecular similarity searches, fingerprint generation, and substructure searches using SMILES and RDKit.

Do I need a DrugBank account to use this skill?

Yes, you must create an account at go.drugbank.com to obtain credentials, which are required for the download and authentication processes.

DrugBank Database Explorer

Name: DrugBank Database Explorer
Author: Yezez9

byYezez9

0•

Data Science & ML

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

The DrugBank Database skill provides Claude with programmatic access to over 9,000 drug entries, including FDA-approved small molecules and experimental compounds. It enables researchers and developers to perform complex bioinformatics tasks such as querying chemical properties, identifying drug-protein targets, analyzing drug-drug interactions for clinical safety, and conducting molecular similarity searches. By integrating structured pharmaceutical data directly into the development workflow, this skill streamlines drug repurposing studies, ADMET predictions, and the creation of searchable medical databases.

Key Features

010 GitHub stars

02Comprehensive drug profiling including SMILES, InChI, and pharmacological data

03Automated data retrieval and authentication for DrugBank datasets

04Drug-drug interaction (DDI) analysis with clinical significance and mechanism mapping

05Target identification and biological pathway mapping using SMPDB and UniProt references

06Chemical similarity searches and ADMET property predictions via RDKit integration

Use Cases

01Conducting drug repurposing research by identifying shared targets and structural similarities

02Analyzing polypharmacy regimens to identify and mitigate potential drug interaction risks

03Building searchable pharmaceutical databases for lead optimization in drug discovery

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent drugbank-database

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Comprehensive drug profiling including SMILES, InChI, and pharmacological data

03Automated data retrieval and authentication for DrugBank datasets

04Drug-drug interaction (DDI) analysis with clinical significance and mechanism mapping

05Target identification and biological pathway mapping using SMPDB and UniProt references

06Chemical similarity searches and ADMET property predictions via RDKit integration

Use Cases

01Conducting drug repurposing research by identifying shared targets and structural similarities

02Analyzing polypharmacy regimens to identify and mitigate potential drug interaction risks

03Building searchable pharmaceutical databases for lead optimization in drug discovery