Can I export query results for analysis?

Yes, the skill provides implementation patterns to convert ChEMBL query results directly into pandas DataFrames for advanced data analysis and visualization.

Does this skill require any external libraries?

Yes, it requires the chembl_webresource_client Python package to facilitate programmatic access to the EBI's ChEMBL web services.

How do I search for compounds by structure?

You can perform similarity or substructure searches by providing SMILES strings using the similarity or substructure endpoints through the Python client patterns provided.

What is the ChEMBL Database skill?

It is a specialized capability for Claude Code that allows users to query the ChEMBL database for information on bioactive molecules, drug targets, and clinical data.

What kind of bioactivity data can I retrieve?

You can query a wide range of measurements including IC50, Ki, EC50, and other potency data, along with normalized pChEMBL values for easier comparison.

ChEMBL Database & Drug Discovery

Name: ChEMBL Database & Drug Discovery
Author: Yezez9

byYezez9

0•

Ciencia de Datos y ML

Provides programmatic access to the ChEMBL database for bioactive molecule research and medicinal chemistry.

The ChEMBL Database skill empowers researchers and developers to interact with the European Bioinformatics Institute's vast repository of bioactive molecules and bioactivity data. By integrating the ChEMBL Python client, this skill allows users to perform complex molecule searches by structure or property, retrieve precise bioactivity measurements like IC50 and Ki, and explore drug-target interactions. It is particularly useful for medicinal chemists conducting SAR studies, identifying inhibitors, or analyzing drug mechanisms within a data-driven workflow.

Características Principales

01Comprehensive bioactivity data retrieval including IC50, Ki, and EC50 values

02Compound searches by name, chemical structure (SMILES), and molecular properties

03Drug information access for approved drugs, mechanisms of action, and indications

040 GitHub stars

05Biological target identification and protein-ligand relationship mapping

06Advanced structure-based similarity and substructure search capabilities

Casos de Uso

01Identifying potent inhibitors for specific biological targets like kinases

02Conducting Structure-Activity Relationship (SAR) studies on chemical series

03Generating datasets of bioactive molecules for drug repurposing and virtual screening

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent chembl-database

For use in Claude.ai and ChatGPT

Características Principales

01Comprehensive bioactivity data retrieval including IC50, Ki, and EC50 values

02Compound searches by name, chemical structure (SMILES), and molecular properties

03Drug information access for approved drugs, mechanisms of action, and indications

040 GitHub stars

05Biological target identification and protein-ligand relationship mapping

06Advanced structure-based similarity and substructure search capabilities

Casos de Uso

01Identifying potent inhibitors for specific biological targets like kinases

02Conducting Structure-Activity Relationship (SAR) studies on chemical series

03Generating datasets of bioactive molecules for drug repurposing and virtual screening