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Structure-based selection of building blocks for array synthesis via the World-Wide Web
1Medicines Research Centre, Glaxo Wellcome Research and Development Ltd., Hertfordshire, UK.
Journal of Molecular Graphics & Modelling
|June 1, 1997
Summary
This study introduces a new computational method for selecting chemical compounds in structure-based drug design. The approach efficiently identifies potential drug candidates by exploring molecular conformations within a protein
Area of Science:
- Computational chemistry
- Medicinal chemistry
- Drug discovery
Background:
- Structure-based drug design requires efficient methods for selecting chemical entities for synthesis.
- Exploring the conformational space of potential drug molecules is crucial for predicting binding interactions.
- Identifying favorable conformations within a protein's binding site is key to successful drug development.
Purpose of the Study:
- To develop and present an extended conformational searching algorithm for selecting chemical substituents in structure-based design.
- To enable the identification of non-interacting conformations within a fixed binding site.
- To facilitate the quantification of molecule-protein interactions and the retention of promising substituents.
Main Methods:
- Extension of a conformational searching algorithm to enumerate substituents for a fixed template.
- Exploration of conformational space within the protein binding site to identify favorable interactions.
- Quantification of interactions using calculated properties and a web-based interface for non-expert users.
- Illustration of the approach using penicillin-based HIV-1 protease inhibitors.
Main Results:
- The algorithm successfully enumerates and filters substituents based on conformational compatibility within the binding site.
- A web-based interface allows for easy searching, visualization (VRML), and cluster analysis of results.
- The method efficiently identifies potential drug candidates by considering both conformation and binding site interactions.
Conclusions:
- The developed computational approach enhances the selection of chemical entities for array synthesis in structure-based design projects.
- The method, including its user-friendly interface, aids in identifying viable drug candidates, as demonstrated with HIV-1 protease inhibitors.
- This approach provides a valuable tool for medicinal chemists in the drug discovery pipeline.