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Metabolic Engineering : Concepts and Applications [electronic resource]
Lee, Sang Yup
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| 자료유형 | 단행본 |
|---|---|
| 개인저자 | Lee, Sang Yup. Nielsen, Jens. Stephanopoulos, Gregory. |
| 서명/저자사항 | Metabolic Engineering [electronic resource] : Concepts and Applications. |
| 발행사항 | Newark :John Wiley & Sons, Incorporated,2021. |
| 형태사항 | 1 online resource (962 p.). |
| 총서사항 | Advanced Biotechnology Ser. |
| 총서부출표목 | Advanced Biotechnology Ser. |
| 기타형태 저록 | Print version:Lee, Sang YupMetabolic EngineeringNewark : John Wiley & Sons, Incorporated,c2021,9783527346622 |
| ISBN | 352782345X 9783527823451 |
| 일반주기 | Description based upon print version of record. 3.2.7 The Classical Approach at Metabolic and Isotopic Stationary State. |
| 내용주기 | Cover -- Title Page -- Copyright -- Contents -- Preface -- Part 1 Concepts -- Chapter 1 Metabolic Engineering Perspectives -- 1.1 History and Overview of Metabolic Engineering -- 1.2 Understanding Cellular Metabolism and Physiology -- 1.2.1 Computational Methods in Understanding Metabolism -- 1.2.2 Experimental Methods in Understanding Metabolism -- 1.3 General Approaches to Metabolic Engineering -- 1.3.1 Rational Metabolic Engineering -- 1.3.2 Combinatorial Metabolic Engineering -- 1.3.3 Systems Metabolic Engineering -- 1.4 Host Organism Selection -- 1.5 Substrate Considerations 1.6 Metabolic Engineering and Synthetic Biology -- 1.7 The Future of Metabolic Engineering -- References -- Chapter 2 Genome-Scale Models: Two Decades of Progress and a 2020 Vision -- 2.1 Introduction -- 2.2 Flux Balance Analysis -- 2.2.1 Dynamic Mass Balances -- 2.2.2 Analogy to Deriving Enzymatic Rate Equations -- 2.2.3 Formulating Flux Balances at the Genome-Scale -- 2.2.4 Constrained Optimization -- 2.2.5 Principles -- 2.2.6 Additional Constraints -- 2.2.7 Flux-Concentration Duality -- 2.2.8 Recap -- 2.3 Network Reconstruction -- 2.3.1 Assembling the Reactome 2.3.2 Basic Principles of Network Reconstruction -- 2.3.3 Curation -- 2.3.4 GEMs Have a Genomic Basis -- 2.3.5 Computational Queries -- 2.3.6 Scope Expansion -- 2.3.7 Knowledge Bases -- 2.3.8 Availability of GEMs -- 2.3.9 Recap -- 2.4 Brief History of the GEM for E. coli -- 2.4.1 Origin -- 2.4.2 Model Organism -- 2.4.3 Key Predictions -- 2.4.4 Design Algorithms -- 2.4.5 Scope Expansions -- 2.4.6 Recap -- 2.5 From Metabolism to the Proteome -- 2.5.1 ME Models -- 2.5.2 Capabilities of ME Models -- 2.5.2.1 Growth-Coupled Metabolic Designs Can Be Reproduced in GEMs 2.5.2.2 ME Models Can Reflect Properties of the Metalloproteome -- 2.5.2.3 ME Models Can Compute the Biomass Objective Function -- 2.5.2.4 Computing Stresses -- 2.5.3 Recapitulation -- 2.6 Current Developments -- 2.6.1 Kinetics -- 2.6.2 Transcriptional Regulation -- 2.6.2.1 iModulons -- 2.6.2.2 Activities -- 2.6.3 Protein Structures -- 2.7 Broader Perspectives -- 2.7.1 Distal Causation -- 2.7.2 Contextualization of GEMs Within Workflows -- 2.8 What Does the Future Look Like for GEMs? -- Disclaimer -- Acknowledgments -- References Chapter 3 Quantitative Metabolic Flux Analysis Based on Isotope Labeling -- 3.1 Introduction -- 3.1.1 What Metabolic Flux Analysis Is About -- 3.1.2 The Variants of 13C-MFA -- 3.2 A Toy Example Illustrates the Basic Principles -- 3.2.1 Fluxomics: More Than Just a Branch of Metabolomics -- 3.2.2 Isotope Labeling: The Key to Metabolic Fluxes -- 3.2.3 From the Data to the Intracellular Fluxes -- 3.2.4 INST-13C-MFA: Metabolic Stationary, but Isotopically Nonstationary -- 3.2.5 From Measurements to Flux Estimates: Parameter Fitting -- 3.2.6 Flux Estimates Have Confidence Bounds: Statistical Analysis |
| 일반주제명 | Metabolism. Biotechnology. Bioengineering. Métabolisme. Biotechnologie. metabolism (biological concept) bioengineering. Biotechnology. Metabolism. |
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