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Cybernetic Modeling for Bioreaction Engineering

Cybernetic Modeling for Bioreaction Engineering

Doraiswami Ramkrishna , Purdue University, Indiana
Hyun-Seob Song , Pacific Northwest National Laboratory, Washington
October 2018
Available
Hardback
9781107000520
£125.00
GBP
Hardback
USD
eBook

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.

  • 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

Product details

October 2018
Hardback
9781107000520
294 pages
253 × 179 × 17 mm
0.74kg
143 b/w illus.
Available

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.