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Fast prediction and visualization of protein binding pockets with PASS
1DuPont Pharmaceuticals Company, Experimental Station E500, Wilmington, DE 19880-0500, USA. G.Patrick.Brady@dupontpharma.com
Journal of Computer-Aided Molecular Design
|May 18, 2000
Summary
Putative Active Sites with Spheres (PASS) is a computational tool that identifies protein binding sites using geometric analysis. This fast method aids in molecular modeling and virtual screening.
Area of Science:
- Computational biology
- Structural bioinformatics
- Drug discovery
Background:
- Identifying protein binding sites is crucial for understanding protein function and designing drugs.
- Existing methods can be computationally intensive, limiting their application in large-scale analyses.
Purpose of the Study:
- To evaluate the utility of the Putative Active Sites with Spheres (PASS) tool for predicting protein binding sites.
- To assess PASS's performance using protein data bank (PDB) structures.
Main Methods:
- PASS employs geometric principles to analyze buried volumes within protein structures.
- The tool was tested by predicting known binding sites in both protein-ligand complexes and their corresponding apoforms.
- Analysis included protein size, shape, and burial extent of volumes.
Main Results:
- PASS successfully predicted known protein binding sites.
- The tool demonstrated efficiency, analyzing a 30 kDa protein in under 20 seconds.
- PASS output is compatible with standard molecular modeling software.
Conclusions:
- PASS is an effective computational tool for identifying potential protein binding sites.
- Its speed and ease of use make it suitable for interactive modeling, database analysis, and virtual screening.
- PASS facilitates direct visualization of buried volumes and relevant residues.