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
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