Parameter Estimation Using Computational Approches in Metabolic Pathways


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The book explains the current issues in bioinformatics approaches to estimate optimal kinetic parameters that can improve the production of desired metabolites. In order to estimate the relevant parameters from data in metabolic pathway, metabolic pathway data was analyzed by using various computational intelligence algorithms. However, many of the computation algorithms face difficulties and take a long computational time to estimate the relevant parameters. The difficulties are due to the existence of noisy data and increasing the number of unknown parameters. Finally, experimental results produce worse search process, less diversity, and less sensitive to control the parameters. The book explains several algorithms with enhanced differential evolution to estimate the optimal kinetic parameters.

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