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Mathematical and computational methods are needed that can organize the available experimental information, and provide insight and guidance for successful metabolic engineering. In order to optimize the ethanol production in Saccharomyces cerevisiae a metabolic pathway of the ethanol production was constructed and analyzed. In this metabolic model the parameter sensitivity and parameter estimation were studied. Also dynamic model was proposed to predict its metabolic behavior. In order to apply metabolic engineering principles to systematic design of ethanol production process, there are several crucial factors
that have to be considered. Among the several crucial factors, the ability to describe the dynamic kinetics quantitatively is most crucial. Application of metabolic engineering principles to systematic design of ethanol production process depend on quantitative dynamic kinetics of enzymes that are related to ethanol biosynthesis network. Goal of this investigation is the development of an essential dynamic model for ethanol biosynthesis of Saccharomyces cerevisiae and the characterization of simulation results to probe its characteristic behavior.1) Parameter sensitivities represent fundamental aspects of flux control as they summarize the extent of systemic flux control exercised by the activity of a single enzyme in the pathway. It will be a great help to make optimization pathway to ethanol.