Cambridge University Press, 2019. — 296 p. — ISBN 978-1-107-00052-0.Uniquely focusing on dynamic modeling, this volume incorporates metabolic regulation as a survival mechanism for cells, by driving metabolism through optimal investment of its resources for control of enzyme synthesis and activity. Consequently, the models have a proven record of describing various uptake patterns of mixed carbon substrates that have become significant in modern applications of biomass for the production of bioenergy. The models accurately describe dynamic behavior of microbes in nutrient environments with mixtures of complementary substrates, such as carbon and nitrogen. Modeling of large metabolic networks (including prospects for extension to genome scale) is enabled by lumped hybrid cybernetic models with an unparalleled capacity to predict dynamic behavior of knockout strains. This is an invaluable, must-have reference for bio-researchers and practicing engineers.Table of Contents Introduction Enzymatic adaptation Early development of cybernetic models Revisiting cybernetic laws via optimal control theory Towards modeling of metabolic networks The hybrid cybernetic model (HCM) The lumped hybrid cybernetic model (L-HCM) Predicting dynamic behavior of mutant strains with L-HCM Nonlinear analysis of cybernetic models Metabolic modeling landscape References Index.True PDF
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