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Three variations of genetic algorithm for searching biomolecular conformation space: Comparison of GAP 1.0, 2.0, and 3.0

โœ Scribed by Jin, A. Y.; Leung, F. Y.; Weaver, D. F.


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
279 KB
Volume
20
Category
Article
ISSN
0192-8651

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โœฆ Synopsis


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 secondary structure motifs including those likely to bind to the -opioid receptor. Limitations in the program's sampling behavior are discussed and method improvements are suggested. Although still in a developmental stage, the GAP programs represent a useful addition to conformational search techniques when no a priori structural information is available.


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Development of a novel genetic algorithm
โœ Jin, A. Y.; Leung, F. Y.; Weaver, D. F. ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 260 KB ๐Ÿ‘ 1 views

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 ลฝ .