Hotspots API: A Python Package for the Detection of Small Molecule Binding Hotspots and Application to...

Area of Science:

• Computational chemistry
• Drug discovery
• Structural biology

Background:

• Fragment Hotspot Maps identifies protein binding sites using interaction data.
• This method is crucial for evaluating drug target tractability and guiding ligand design.
• Previously, Fragment Hotspot Maps was only accessible via a web application.

Purpose of the Study:

• To enhance the accessibility of the Fragment Hotspot Maps algorithm.
• To introduce the Hotspots API for programmatic access to the core algorithm.
• To facilitate the interpretation and application of binding hotspot analysis.

Main Methods:

• Developed the Hotspots API, a toolkit offering programmatic access to Fragment Hotspot Maps.
• Mined interaction data from the Cambridge Structural Database (CSD).
• Demonstrated the API's utility with a workflow for deriving protein hydrogen-bond constraints for molecular docking.

Main Results:

• The Hotspots API provides direct access to the Fragment Hotspot Maps algorithm.
• A workflow was presented to automate the derivation of hydrogen-bond constraints for GOLD docking.
• The API facilitates easier integration into drug discovery pipelines.

Conclusions:

• The Hotspots API significantly increases the accessibility and utility of Fragment Hotspot Maps.
• Programmatic access enables broader application in drug lead design and target evaluation.
• This toolkit supports automated analysis for molecular docking and drug discovery efforts.