Cybernetic Modeling for Bioreaction Engineering
$116.00 ( ) USD
- Doraiswami Ramkrishna, Purdue University, Indiana
- Hyun-Seob Song, Pacific Northwest National Laboratory, Washington
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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.Read more
- Offers a dynamic look at metabolism, focusing on productivity as well as yield of metabolic products
- Provides a comprehensive account of metabolic regulation, offering more reliable control and optimization of bioprocesses
- Lays the groundwork for dynamic genome scale analysis
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- Date Published: October 2018
- format: Adobe eBook Reader
- isbn: 9781108679701
- contains: 143 b/w illus.
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
2. Enzymatic adaptation
3. Early development of cybernetic models
4. Revisiting cybernetic laws via optimal control theory
5. Towards modeling of metabolic networks
6. The hybrid cybernetic model (HCM)
7. The lumped hybrid cybernetic model (L-HCM)
8. Predicting dynamic behavior of mutant strains with L-HCM
9. Nonlinear analysis of cybernetic models
10. Metabolic modeling landscape
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