DocumentCode
1611077
Title
Search for native conformations of organic molecules by genetic algorithms
Author
Beiersdorfer, S. ; Hesser, J. ; Schmitt, J. ; Männer, R. ; Schulz, A. ; Wolfrum, J.
Author_Institution
Lehrstuhl fur Inf. V, Mannheim Univ., Germany
fYear
1997
Firstpage
624
Lastpage
630
Abstract
Recent results concerning the efficiency of genetic algorithms for structure prediction of organic molecules are presented. The main focus of this paper is on the efficiency of different problem specific crossover operators and repair heuristics. A fluorescent labeled nucleoside and an oligopeptide are used as application examples. The molecule structure adapted crossovers and repair heuristics turned out to increase the robustness of the genetic algorithm significantly. In combination with an island model they increased the probability of finding the global optimum of the nucleoside from 5% to 90%. Using a genetic algorithm with problem specific crossover we found a new global optimum for Met-Enkephaline and the ECEPP2 force field.
Keywords
chemistry computing; genetic algorithms; heuristic programming; molecular configurations; search problems; ECEPP2 force field; Met-Enkephaline; fluorescent labeled nucleoside; genetic algorithms; global optimum; island model; molecule structure adapted crossovers; oligopeptide; organic molecule native conformations; probability; problem specific crossover operators; repair heuristics; search; structure prediction; Bonding; Chemistry; Cost function; Electrostatics; Evolutionary computation; Fluorescence; Genetic algorithms; Organic chemicals; Robustness; Search methods;
fLanguage
English
Publisher
ieee
Conference_Titel
EUROMICRO 97. New Frontiers of Information Technology., Proceedings of the 23rd EUROMICRO Conference
Conference_Location
Budapest, Hungary
ISSN
1089-6503
Print_ISBN
0-8186-8129-2
Type
conf
DOI
10.1109/EURMIC.1997.617391
Filename
617391
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