Retrieve and analyze ChEMBL bioactivity data and targets via the ChEMBL API.
npx skills add https://github.com/omar-A-hassan/medsci-agent --skill chembl
Please help me install this Agent Skill. Skill: chembl Source: https://github.com/omar-A-hassan/medsci-agent/tree/main/.opencode/skills/chembl Command: npx skills add https://github.com/omar-A-hassan/medsci-agent --skill chembl
Researchers need fast, programmatic access to ChEMBL bioactivity data and target information to inform early drug discovery and pharmacology decisions.
Run a simple query to fetch the top activity data for a given target, then extend to filtering by activity type and pChEMBL value.
High-intent search queries and answers about installing and using this skill.
To retrieve ChEMBL bioactivity data for a specific drug target, query the ChEMBL API by target name or target class to fetch associated molecule-level activities and assay information. This supports target validation and mechanism exploration workflows.
Yes, you can filter ChEMBL molecule activity data by assay type and pChEMBL value. The Skill supports filtering bioactivity metrics to help researchers prioritize targets and perform SAR analysis across small molecules.
The best way to search for targets by organism and target class in ChEMBL is by querying the API with specific target filters. This retrieves relevant target details and associated bioactivity data for early drug discovery decisions.
To compare selectivity across related targets using ChEMBL bioactivity data, retrieve all associated activities for the target group and evaluate the pChEMBL values. This allows researchers to analyze comparative selectivity for prioritization.
Yes, you need the chembl_webresource_client library and access to the ChEMBL API. This Python library provides the programmatic interface required to retrieve and analyze target details and molecule-level bioactivity data.
ChEMBL data available for early drug discovery includes molecule-level bioactivity, target details, and assay information. Accessing this data programmatically supports target validation, SAR analysis, and mechanism exploration for pharmacology decisions.
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