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Determination of clefts in receptor structures
1Department of Pharmacology, University of Cambridge, U.K.
Journal of Computer-Aided Molecular Design
|June 1, 1989
Summary
This study presents a new computational method to automatically identify binding sites in molecular receptors. This approach uses Voronoi tessellation to find clefts, aiding in computer-aided drug design.
Area of Science:
- Computational chemistry
- Structural biology
- Drug discovery
Background:
- Ligand binding in receptor clefts is crucial for drug action.
- Identifying these binding sites is essential for computer-aided drug design (CADD).
- Current methods can be time-consuming and subjective.
Purpose of the Study:
- To develop an automated method for detecting receptor clefts and binding sites.
- To improve the efficiency and objectivity of binding site identification in drug design.
Main Methods:
- Utilizing Voronoi tessellation to analyze the accessible surface of receptor molecules.
- Implementing algorithms to identify clefts, dimples, and the complete accessible surface within receptor slices.
Main Results:
- The method successfully identifies all clefts and dimples on the receptor surface.
- The automated approach determines binding sites quickly and without observer bias.
- The findings facilitate database searching and automatic structure generation for new drug candidates.
Conclusions:
- Automated cleft and binding site determination is feasible and highly valuable for CADD.
- This method offers a rapid, objective, and efficient tool for identifying potential drug targets.
- The technique enhances the process of designing novel therapeutics through computational approaches.