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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
New method for fast and accurate binding-site identification and analysis
1Schrödinger, Inc., 120 West 45th Street, 29th Floor, New York, NY 10036, USA. halgren@schrodinger.com
Chemical Biology & Drug Design
|March 27, 2007
Summary
SiteMap is a new computational method that identifies potential protein binding sites for drug discovery. It accurately predicts druggability and characterizes binding sites, aiding in lead optimization and structure-based drug design.
Area of Science:
- Computational chemistry
- Structural biology
- Drug discovery
Background:
- Structure-based drug design requires knowledge of protein-ligand binding sites.
- Identifying alternative binding sites or characterizing known sites is crucial for drug discovery and optimization.
- Understanding ligand-receptor complementarity is vital for lead optimization.
Purpose of the Study:
- Introduce SiteMap, a novel technique for identifying potential binding sites.
- Evaluate SiteMap's ability to predict binding site druggability and characterize sites.
- Demonstrate SiteMap's utility in lead discovery and optimization applications.
Main Methods:
- SiteMap employs a computational approach to analyze protein structures.
- The technique identifies potential ligand-binding pockets.
- SiteMap assesses the druggability and characteristics of identified sites.
Main Results:
- SiteMap correctly identified known binding sites in over 96% of validation cases.
- Performance exceeded 98% for sites with high ligand-binding affinity.
- The method accurately differentiated between ligand-binding and non-binding sites.
- SiteMap provided quantitative and graphical data for ligand modification.
Conclusions:
- SiteMap is a validated technique for identifying and characterizing protein binding sites.
- It effectively predicts binding site druggability in lead discovery.
- SiteMap complements existing methods like docking for structure-based drug design.
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