| Summary: | 碩士 === 國立成功大學 === 航空太空工程學系碩博士班 === 101 === In the recent years, many efforts have been given to simulate the dynamic behavior of metabolism of a cell using mathematical models for the main metabolic pathways such as glycolysis, tricarboxylic acid cycle (TCA cycle), pentose phosphate (PP) pathway, and the anapleorotic pathways, etc. These models have been applied to the Mycobacterium tuberculosis, Dictyostelium discoideum, Saccharomyces cerevisiae and Escherichia (E.) coli for different verification purposes.
The significant change of metabolite concentrations as knockout of succinate dehydrogenase on metabolism in TCA cycle of E. coli O157:H7 has been observed from experiments in biochemistry. Here we construct a mathematical model to describe this observation by using the simulation environment of Matlab. A least-square iterative scheme is proposed to tune the kinetic parameters in the model so as to minimize the matching error between the output of the model and the experimental data. The metabolite concentrations computed by the model are compared with the experimental data to verify the feasibility of the proposed model. Based on the same model, we also reveal predictions on new mutants, which are to be confirmed by experiments.
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