DocumentCode :
1589636
Title :
Protein Conformational Search Using Bees Algorithm
Author :
Bahamish, Hesham Awadh A ; Abdullah, Rosni ; Salam, Rosalina Abdul
Author_Institution :
Sch. of Comput. Sci., Univ. Sains Malaysia, Penang
fYear :
2008
Firstpage :
911
Lastpage :
916
Abstract :
Proteins perform many biological functions in the human body. The structure of the protein determines its function. In order to predict the protein structure computationally, protein must be represented in a proper representation. To this end, an energy function is used to calculate its energy and a conformational search algorithm is used to search the conformational search space to find the lowest free energy conformation. In this paper, the Bees Algorithm, i.e. a Swarm Intelligence based algorithm inspired by the foraging behaviour of honey bees colony, is adapted to search the protein conformational search space. The algorithm was able to find the lowest free energy conformation of Met-enkephaline using ECEPP/2 force fields.
Keywords :
biology computing; proteins; search problems; ECEPP/2 force field; biological function; free energy conformation; honey bees colony; protein conformational search algorithm; protein structure prediction; swarm intelligence based algorithm; Amino acids; Computer science; Control charts; Humans; Insects; Neural networks; Nuclear magnetic resonance; Particle swarm optimization; Protein sequence; Testing; Bees Algorithm; Protein Conformation; Swarm Intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling & Simulation, 2008. AICMS 08. Second Asia International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-0-7695-3136-6
Electronic_ISBN :
978-0-7695-3136-6
Type :
conf
DOI :
10.1109/AMS.2008.65
Filename :
4530597
Link To Document :
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