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A genetic algorithm for flexible molecular overlay and pharmacophore elucidation
1Department of Information Studies, University of Sheffield, Western Bank, UK.
Journal of Computer-Aided Molecular Design
|December 1, 1995
Summary
A novel genetic algorithm (GA) efficiently superimposes flexible molecules for pharmacophore elucidation. This computational method rapidly generates accurate molecular models, aiding drug discovery.
Area of Science:
- Computational Chemistry
- Cheminformatics
- Molecular Modeling
Background:
- Superimposing flexible molecules is crucial for understanding structure-activity relationships.
- Existing methods may lack efficiency or accuracy for complex molecular datasets.
Purpose of the Study:
- To develop a genetic algorithm (GA) for accurate and rapid superimposition of flexible molecules.
- To apply the GA to various pharmacophore elucidation challenges.
Main Methods:
- Developed a GA representing molecules as chromosomes encoding rotational angles and feature mappings.
- Utilized a template molecule to fit others, maximizing structural equivalences.
- Fitness function combines feature overlap, volume integral, and van der Waals energy.
Main Results:
- Successfully applied the GA to diverse pharmacophore elucidation problems, including receptor antagonists and ligands.
- The algorithm rapidly generated pharmacophores.
- Results showed good agreement with those obtained through alternative methods.
Conclusions:
- The developed GA provides an efficient and accurate tool for flexible molecular superimposition.
- This method facilitates rapid pharmacophore elucidation, supporting drug discovery efforts.