Fusing Docking Scoring Functions Improves the Virtual Screening Performance for Discovering Parkinson's Disease Dual...

Area of Science:

• Computational chemistry
• Drug discovery
• Pharmacology

Background:

• Virtual screening and structure-based drug design are crucial in modern drug discovery.
• Dual-target ligands for Adenosine A2A Receptor and Monoamine Oxidase B are promising for Parkinson's disease treatment.

Purpose of the Study:

• To develop and validate a structure-based methodology for discovering dual Adenosine A2A Receptor/Monoamine Oxidase B ligands.
• To optimize virtual screening enrichment of known dual ligands using scoring function fusion strategies.

Main Methods:

• Performing molecular docking studies against both Adenosine A2A Receptor and Monoamine Oxidase B.
• Evaluating various scoring function fusion strategies to enhance virtual screening efficiency.

Main Results:

• The developed methodology significantly improved the enrichment of known dual ligands compared to individual scoring functions.
• The study identified a sequence of steps to maximize enrichment for dual Adenosine A2A Receptor antagonists and Monoamine Oxidase B inhibitors.

Conclusions:

• Combining docking scores from multiple functions is essential for high dual ligand enrichment.
• Ensemble scoring strategies effectively improve virtual screening performance over single functions.