Three genetic algorithm programs, GAP 1.0, 2.0, and 3.0, were used in conjunction with the ECEPPr2 force field to search the conformation w x space of Met -enkephalin. Each program was proficient at quickly finding many diverse low-energy conformers. Conformer populations displayed a variety of seco
Development of a novel genetic algorithm search method (GAP1.0) for exploring peptide conformational space
β Scribed by Jin, A. Y.; Leung, F. Y.; Weaver, D. F.
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 260 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0192-8651
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β¦ Synopsis
A genetic algorithm-driven search method GAP1.0; Genetic . Algorithm Peptide search, version 1.0 has been developed for the computational exploration of peptide conformational space. The suitability of a variety of genetic algorithm operators was evaluated through representative calculations w x Ε½ . on the pentapeptide Met -enkephalin TyrαGlyαGlyαPheαMet . GAP1.0 was successful in efficiently elucidating backbone conformational features observed in the global minimum energy structure. Furthermore, the program readily w x identified the tremendous diversity among Met -enkephalin conformers under physiological conditions. It is concluded that GAP1.0 provides a useful extension to the current repertoire of conformational analysis techniques.
π SIMILAR VOLUMES
We present results from the application of two conformational searching methods: genetic algorithms (GA) and direct search methods for finding low energy conformations of organic molecules. GAS are in a class of biologically motivated optimization methods that evolve a population of individuals in w