gtopdb-database

You can query quantitative drug-target interaction data by accessing the GtoPdb REST API to retrieve affinity metrics like pKi, pIC50, and pEC50 for receptor-ligand pairs. It supports programmatic access to over 3,000 targets and 12,000 ligands.

Yes, you can retrieve ligand classifications and build selectivity profiles for ligands across various targets. The Skill queries the GtoPdb database to facilitate selectivity profiling and target family classification for drug discovery research.

The best way is to query GtoPdb for all antagonists of that specific receptor. You can retrieve comprehensive quantitative affinity data and ligand pharmacology details to inform lead optimization strategies in medicinal chemistry.

Yes, the Skill requires the requests, pandas, and matplotlib libraries. These dependencies support programmatic API access, data manipulation for affinity metrics, and visualization of the resulting pharmacological interaction data.

You need programmatic access when conducting large-scale drug discovery or pharmacological research. It enables batch retrieval of target families, ligand binding annotations, and quantitative affinity metrics that manual database queries cannot efficiently provide.

Limitations depend on the GtoPdb REST API rate limits and the annotation completeness for each receptor-ligand pair. While the database is comprehensive, some interaction data may lack reported affinity metrics like pKi or pEC50.