DocumentCode
507991
Title
Bacterial Chemotaxis Optimization for Protein Folding Model
Author
Yudong Zhang ; Lenan Wu
Author_Institution
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
Volume
4
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
159
Lastpage
162
Abstract
To improve protein folding simulations, bacterial chemotaxis optimization (BCO) was investigated on a 2D lattice model. BCO is a novel intelligent problem solving technique inspired from the foraging behavior of bacteria. We compared BCO with standard genetic algorithm (SGA), immune genetic algorithm (IGA), and artificial immune system (AIS) for various chain lengths. It shows that BCO has the highest successful rate.
Keywords
biology computing; genetic algorithms; microorganisms; molecular biophysics; molecular configurations; proteins; 2D lattice model; artificial immune system; bacterial chemotaxis optimization; chain lengths; immune genetic algorithm; protein folding model; protein folding simulations; standard genetic algorithm; Artificial immune systems; Computational modeling; Genetic algorithms; Immune system; Information science; Lattices; Microorganisms; Protein engineering; Protein sequence; Turning; chemotaxis optimization; protein folding model;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.190
Filename
5364519
Link To Document