DocumentCode :
2559435
Title :
Multi-scale optimization model and algorithm for computer-aided molecular docking
Author :
Kang, Ling ; Wang, Xicheng
Author_Institution :
Dept. of Eng. Mech., Dalian Univ. of Technol., Dalian, China
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1208
Lastpage :
1211
Abstract :
A multi-scale optimization model and algorithm are presented into molecular docking problem. In this model, a concept of residue groups based on induced-fit is introduced to the refined docking design. An adaptive evolution algorithm is developed to address the optimization problem. Multi-population evolution and information entropy-based searching techniques with narrowing space are employed in the method, making the efficiency of the genetic evolution very high. A new docking program that accounts for protein flexibility has also been developed. Docking results indicate that the method can be efficiently employed in molecular drug design.
Keywords :
drugs; entropy; evolutionary computation; optimisation; pharmaceutical technology; proteins; adaptive evolution algorithm; computer-aided molecular docking; genetic evolution; induced fit; information entropy-based searching techniques; molecular drug design; multipopulation evolution; multiscale optimization model; narrowing space; optimization problem; protein flexibility; refined docking design; residue groups; Adaptation models; Computational modeling; Drugs; Genetic algorithms; Genetics; Optimization; Proteins; Genetic Algorithm; Molecular Docking; Multi-scale optimizaiton Model; Residue groups;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
ISSN :
2157-9555
Print_ISBN :
978-1-4577-2130-4
Type :
conf
DOI :
10.1109/ICNC.2012.6234681
Filename :
6234681
Link To Document :
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