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 .
A comparison of a direct search method and a genetic algorithm for conformational searching
β Scribed by Meza, J. C.; Judson, R. S.; Faulkner, T. R.; Treasurywala, A. M.
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 780 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0192-8651
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β¦ Synopsis
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 which individuals who are more "fit" have a higher probability of surviving into subsequent generations. The parallel direct search method (PDS) is a type of pattern search method that uses an adaptive grid to search for minima. Both methods found energies equal to or lower than the energy of the relaxed crystal structure in all cases, at a relatively small cost in CPU time. We suggest that either method would be a good candidate to find 3-D conformations in a large scale screening application.
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