Simulation of Fermentation Pathway Using Bees Algorithm
Abstract In this paper, we propose Bees Algorithm (BA) to enhance the performance in estimating the parameters for metabolic pathway data to simulate fermentation pathway for Saccharomyces cerevisiae. However, the parameter estimation of biological processes has always been a challenging task due to the complexity and nonlinear equations. Therefore, we present this algorithm as a new approach for parameter estimation for biological interactions to obtain more accurate parameter values. The result shows that BA outperforms other estimation algorithms as it produces the most accurate kinetic parameters, which contributes to the precision of simulated kinetic model.
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Albert, S.R., Curto, R., Cascante, M., Comparative Characterization of the Fermentation Pathway of Saccharomyces cerevisiae Using Biochemical Systems Theory and Metabolic Control Analysis: Model Validation and Dynamic Behavior, Math Biosci 130(1) (1994) 25-50.
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Ozbakir, L., Baykasog, A. Tapkan, P., Bees algorithm for generalized assignment problem, Applied Mathematics and Computation 215(11) (2010) 3782–3795.
Pham, D. T., Eldukhri, E. E., Soroka, A. J., Intelligent production machines and systems, in Intelligent Production Machines and Systems, Elsevier 2007.
Wang, F.S., Sheu, J.W.,Multiobjective parameter estimation problems of fermentation processes using a high ethanol tolerance yeast’, Chemical Engineering Science, 55(18) (2000) 3685-3695.
Zhou, J.Y., Yockman, J.W., Sung, W.K., Steven E.K., Intracellular Kinetics of Non-Viral Gene Delivery Using Polyethylenimine Carriers, Pharmaceutical Research 24(6) (2007) 1079-1087.
Chou, I.C., Eberhard, O.V., Recent developments in parameter estimation and structure identification of biochemical and genomic systems, Mathematical Biosciences 219 (2007) 57–83.
Gonzalez, O.R., Küper C., Kirsten, J., Naval, P.C., Mendoza, E., Parameter estimation using Simulated Annealing for S-system models of biochemical networks, Bioinformatics 23(4) (2007) 480–486.
Liu, Y., Kevin, M.P., Computer simulation of biological systems, Molecular and Cellular Biochemistry 73 (2000) 91-98.
Ozbakir, L., Baykasog, A. Tapkan, P., Bees algorithm for generalized assignment problem, Applied Mathematics and Computation 215(11) (2010) 3782–3795.
Pham, D. T., Eldukhri, E. E., Soroka, A. J., Intelligent production machines and systems, in Intelligent Production Machines and Systems, Elsevier 2007.
Wang, F.S., Sheu, J.W.,Multiobjective parameter estimation problems of fermentation processes using a high ethanol tolerance yeast’, Chemical Engineering Science, 55(18) (2000) 3685-3695.
Zhou, J.Y., Yockman, J.W., Sung, W.K., Steven E.K., Intracellular Kinetics of Non-Viral Gene Delivery Using Polyethylenimine Carriers, Pharmaceutical Research 24(6) (2007) 1079-1087.
Leong, Y. Y., Chong, C. K., Chai, L. E., Deris, S., Illias, R., Omatu, S., & Mohamad, M. S. (2013). Simulation of Fermentation Pathway Using Bees Algorithm. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 1(2), 13–19. https://doi.org/10.14201/ADCAIJ2012121319
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