Download Biosystems Engineering I: Creating Superior Biocatalysts by Sang Yup Lee, Jin Hwan Park (auth.), Christoph Wittmann, PDF

By Sang Yup Lee, Jin Hwan Park (auth.), Christoph Wittmann, Rainer Krull (eds.)

-Integration of structures Biology with Bioprocess Engineering: L-Threonine construction via platforms Metabolic Engineering of Escherichia Coli, through 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 commercial Microorganisms, Marta Papini, Margarita Salazar, and Jens Nielsen; -De Novo Metabolic Engineering and the Promise of man-made 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 by way of Enzyme, Substrate and response Engineering; via Jürgen Seibel, Hans-Joachim Jördening, and Klaus Buchholz; -Regeneration of Nicotinamide Coenzymes: ideas and purposes for the Synthesis of Chiral Compounds; by way of Andrea Weckbecker, Harald Gröger, and Werner Hummel;

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Extra resources for Biosystems Engineering I: Creating Superior Biocatalysts

Sample text

Glutamicum, glucose 6-phosphate dehydrogenase, 6-phosphogluconate dehydrogenase, isocitrate 36 C. Wittmann Fig. 4 Metabolic fluxes around the pyruvate node of C. glutamicum under different physiological conditions: Growth of the wild type C. glutamicum ATCC 13032 in continuous culture on glucose [27] (a), batch cultivation of the lysine producing strain C. glutamicum ATCC 13032 lysCfbr (b), its pyruvate kinase deficient variant C. glutamicum ATCC 13032 lysCfbr Dpyk [120] (c), and glutamate production in batch culture by C.

2 Stoichiometric Modeling New genome wide stoichiometry based modeling of metabolic pathways is now possible. The stoichiometric data and models available provide the basis for various in silico applications differing in the methodology and algorithms used. Major contributions for C. glutamicum have been obtained from flux balancing [66] and elementary (flux) mode analysis [67]. In short, flux balance analysis is a constraint based method to analyze stoichiometric networks. Through introduction of specific biological constraints the set of various possible solutions for the typically underdetermined metabolic system can be limited to a certain solution space.

Wittmann Fig. 4 Metabolic fluxes around the pyruvate node of C. glutamicum under different physiological conditions: Growth of the wild type C. glutamicum ATCC 13032 in continuous culture on glucose [27] (a), batch cultivation of the lysine producing strain C. glutamicum ATCC 13032 lysCfbr (b), its pyruvate kinase deficient variant C. glutamicum ATCC 13032 lysCfbr Dpyk [120] (c), and glutamate production in batch culture by C. glutamicum AJ-1511 (ATCC13869) on glucose [118] (d). 5 80 60 40 20 0 0 10 20 30 Lysine production flux (%) 40 0 20 40 60 80 Glutamate production flux (%) Fig.

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