By Sang Yup Lee, Jin Hwan Park (auth.), Christoph Wittmann, Rainer Krull (eds.)
-Integration of platforms Biology with Bioprocess Engineering: L-Threonine creation by means of platforms Metabolic Engineering of Escherichia Coli, by way of Sang Yup Lee and Jin Hwan Park; -Analysis and Engineering of Metabolic Pathway Fluxes in Corynebacterium glutamicum, by way of Christoph Wittmann; -Systems Biology of business Microorganisms, Marta Papini, Margarita Salazar, and Jens Nielsen; -De Novo Metabolic Engineering and the Promise of artificial DNA, by means of Daniel Klein-Marcuschamer, Vikramaditya G. Yadav, Adel Ghaderi, and Gregory N. Stephanopoulos; -Systems Biology of Recombinant Protein creation in Bacillus megaterium, Rebekka Biedendieck, Boyke Bunk, Tobias Fürich, Ezequiel Franco-Lara, Martina Jahn, and Dieter Jahn; -Extending man made Routes for Oligosaccharides through Enzyme, Substrate and response Engineering; by way of Jürgen Seibel, Hans-Joachim Jördening, and Klaus Buchholz; -Regeneration of Nicotinamide Coenzymes: rules and purposes for the Synthesis of Chiral Compounds; via Andrea Weckbecker, Harald Gröger, and Werner Hummel;
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Extra info for Biosystems Engineering I: Creating Superior Biocatalysts
Glutamicum detailed dynamic models, based on mechanistic equations for the participating enzymes and concentration measurements of the pathway intermediates involved, have been developed at least for the biosynthesis of lysine  and valine . , enzyme concentrations to achieve increased flux. Admittedly, for most pathways of C. glutamicum such kinetic information is still not available. This can be partly overcome by the application of power law or lin-log kinetics in the underlying equations [79, 80].
6 Towards Novel Products . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 1 Introduction C. glutamicum was discovered about 50 years ago. Stimulated by the increasing demand for L-glutamate as a flavor enhancer in human nutrition, a screening program in Japan led to the isolation of a soil microorganism, later classified as C.
All possible steady-state flux distributions through the metabolic network are nonnegative linear combinations of the set of elementary modes . This can be exploited to extract key properties from metabolic networks such as maximum 30 C. Wittmann network capacity, optimal pathways, network robustness, or phenotype prediction in response to environmental or genetic perturbations [56, 72, 73]. 1 Capacity of the Network of C. glutamicum for Lysine Production For C. glutamicum stoichiometric network modeling has been utilized to assess the capacity for the production of lysine as one of the major industrial products [5, 11, 55, 74, 75].
Biosystems Engineering I: Creating Superior Biocatalysts by Sang Yup Lee, Jin Hwan Park (auth.), Christoph Wittmann, Rainer Krull (eds.)