Systems Metabolic Engineering [electronic resource] /
Wittmann, Christoph.editor.
Yi, Sang-yŏp,1964-editor.
Systems Metabolic Engineering is changing the way microbial cell factories are designed and optimized for industrial production.   Integrating systems biology and biotechnology with new concepts from synthetic biology, it enables the global analysis and engineering of microorganisms – and bioprocesses at super efficiency and versatility otherwise not accessible. Without doubt, systems metabolic engineering is a major driver towards bio-based production of chemicals, materials and fuels from renewables and thus one of the core technologies of global green growth. In this book, Christoph Wittmann and Sang-Yup Lee have assembled the world leaders on systems metabolic engineering and cover the full story – from genomes and networks via discovery and design to industrial implementation practises. This book is a comprehensive resource for students and researchers from academia and industry interested in systems metabolic engineering. It provides us with the fundament to targeted engineering of microbial cells for sustainable bio-production and stimulates those who are interested to enter into this exiting field.
Description based upon print version of record.
Includes bibliographical references and index.
Preface, Christoph Wittmann, Sang Yup Lee -- 1. Genome-scale network modeling, Sang Yup Lee et al -- 2. Kinetic modeling of metabolic networks, Daniel C. Zielinski and Bernhard O. Palsson -- 3. Design of superior cell factories based on systems wide omics analysis, Hiroshi Shimizu et al -- 4. Technologies for bio-systems engineering, Sven Panke et al -- 5. Systems metabolic engineering of Escherichia coli for chemicals, materials, biofuels, and pharmaceuticals, Sang Yup Lee et al -- 6. Systems metabolic engineering of Corynebacterium glutamicum for biobased production of chemicals, materials and fuels, Judith Becker, Stefanie Kind, Christoph Wittmann -- 7. Towards a synthetic biology of the stress-response and the tolerance phenotype: systems understanding and engineering of the Clostridium acetobutylicum stress-response and tolerance to toxic metabolites, Eleftherios T. Papoutsakis, Keith V. Alsaker -- 8. Model-based design of superior cell factory: an illustrative example of Penicillium chrysogenum, I. Emrah Nikerel -- 9. Bridging Omics Technologies with Synthetic Biology in Yeast Industrial Biotechnology, António Roldão, Il-Kwon Kim, Jens Nielsen -- 10. Design of superior cell factories for a sustainable biorefinery by synthetic bioengineering, Tomohisa Hasunuma, Fumio Matsuda, Akihiko Kondo -- 11. Systems-level analysis of cancer metabolism, Paulo A. Gameiro, Christian M. Metallo, Gregory Stephanopoulos -- Index.
Systems Metabolic Engineering is changing the way microbial cell factories are designed and optimized for industrial production.   Integrating systems biology and biotechnology with new concepts from synthetic biology, it enables the global analysis and engineering of microorganisms – and bioprocesses at super efficiency and versatility otherwise not accessible. Without doubt, systems metabolic engineering is a major driver towards bio-based production of chemicals, materials and fuels from renewables and thus one of the core technologies of global green growth. In this book, Christoph Wittmann and Sang-Yup Lee have assembled the world leaders on systems metabolic engineering and cover the full story – from genomes and networks via discovery and design to industrial implementation practises. This book is a comprehensive resource for students and researchers from academia and industry interested in systems metabolic engineering. It provides us with the fundament to targeted engineering of microbial cells for sustainable bio-production and stimulates those who are interested to enter into this exiting field.
Gene expression.
Systems biology.
Biotechnology.
Microbial genetics.
Microbial genomics.
Genetic engineering.
Bioinformatics.
Gene Expression.
Systems Biology.
Biotechnology.
Microbial Genetics and Genomics.
Genetic Engineering.
Computational Biology/Bioinformatics.