Title
A comparison of a direct search method and a genetic algorithm for conformational searching
Abstract
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) it 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. (C) 1996 by John Wiley & Sons, Inc.
Year
DOI
Venue
1996
10.1002/(SICI)1096-987X(19960715)17:9<1142::AID-JCC6>3.0.CO;2-S
JOURNAL OF COMPUTATIONAL CHEMISTRY
Field
DocType
Volume
Population,Mathematical optimization,Low energy,Computer science,CPU time,Computational chemistry,Direct search,Maxima and minima,Grid,Genetic algorithm,Pattern search
Journal
17
Issue
ISSN
Citations 
9
0192-8651
10
PageRank 
References 
Authors
1.47
6
4
Name
Order
Citations
PageRank
Juan C. Meza110912.01
Richard S. Judson2335.29
T.R. Faulkner3233.13
A M Treasurywala46324.42