Modeling and Simulation of Enzyme Controlled Metabolic Networks Using Optimization Based Methods
Author: Henning Lindhorst
Publisher:
Published: 2020
Total Pages:
ISBN-13:
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Author: Henning Lindhorst
Publisher:
Published: 2020
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Costas D. Maranas
Publisher: John Wiley & Sons
Published: 2016-02-23
Total Pages: 278
ISBN-13: 1119028493
DOWNLOAD EBOOKProvides a tutorial on the computational tools that use mathematical optimization concepts and representations for the curation, analysis and redesign of metabolic networks Organizes, for the first time, the fundamentals of mathematical optimization in the context of metabolic network analysis Reviews the fundamentals of different classes of optimization problems including LP, MILP, MLP and MINLP Explains the most efficient ways of formulating a biological problem using mathematical optimization Reviews a variety of relevant problems in metabolic network curation, analysis and redesign with an emphasis on details of optimization formulations Provides a detailed treatment of bilevel optimization techniques for computational strain design and other relevant problems
Author: Peter Mulquiney
Publisher: CRC Press
Published: 2003-05-14
Total Pages: 327
ISBN-13: 0203503937
DOWNLOAD EBOOKWith the advent of sophisticated general programming environments like Mathematica, the task of developing new models of metabolism and visualizing their responses has become accessible to students of biochemistry and the life sciences in general. Modelling Metabolism with Mathematica presents the approaches, methods, tools, and algorithms for mode
Author: Daniel Machado
Publisher: Frontiers Media SA
Published: 2016-01-21
Total Pages: 117
ISBN-13: 2889197549
DOWNLOAD EBOOKMathematical and computational models play an essential role in understanding the cellular metabolism. They are used as platforms to integrate current knowledge on a biological system and to systematically test and predict the effect of manipulations to such systems. The recent advances in genome sequencing techniques have facilitated the reconstruction of genome-scale metabolic networks for a wide variety of organisms from microbes to human cells. These models have been successfully used in multiple biotechnological applications. Despite these advancements, modeling cellular metabolism still presents many challenges. The aim of this Research Topic is not only to expose and consolidate the state-of-the-art in metabolic modeling approaches, but also to push this frontier beyond the current edge through the introduction of innovative solutions. The articles presented in this e-book address some of the main challenges in the field, including the integration of different modeling formalisms, the integration of heterogeneous data sources into metabolic models, explicit representation of other biological processes during phenotype simulation, and standardization efforts in the representation of metabolic models and simulation results.
Author: Alberto Jesus Martin
Publisher: Frontiers Media SA
Published: 2022-11-25
Total Pages: 333
ISBN-13: 2832507123
DOWNLOAD EBOOKAuthor: David Christopher Flowers
Publisher:
Published: 2012
Total Pages: 105
ISBN-13:
DOWNLOAD EBOOKRecently, ensemble modeling was applied to metabolic networks for the sake of predicting the effects of genetic manipulations on the observed phenotype of the system. The ensemble of models is generated from experimental wild-type flux data and screened using phenotypic data from gene overexpression and knockout experiments, leaving predictive models. The need for data from multiple genetic perturbation experiments is an inherent limitation to this approach. In this investigation, ensemble modeling is used alongside elementary mode analysis to attempt to predict those enzymatic perturbations that are most likely to result in an increase in a target yield and a target flux when only the wild-type flux distribution is known. Elementary mode analysis indicates the maximum theoretical yield and its associated steady-state flux distribution(s), and the minimal cut set knockouts are determined that eliminate all but the highest-yield elementary modes. These knockouts and other perturbations are simulated using all of the ensemble models, and the distributions of predicted fluxes and yields over the models are compared to elucidate which reactions and metabolites most likely limit the target yield and flux. Additionally, a systematic method is developed to simultaneously identify multiple reactions that are responsible for bottlenecks after the minimal cut set knockouts are performed. These methods are applied to a metabolic network that models 3-deoxy-D-arabinoheptulosonate-7-phosphate (DAHP) production in E. coli. Results show that pyruvate accumulation due to glucose uptake and erythrose-4-phosphate (E4P) shortages resulting from the slow reaction rate of transketolase (Tkt) limit DAHP production. These results are consistent with published data, indicating that a detailed understanding of metabolic networks can be obtained with minimal experimental data. Additionally, the systematic method identifies four enzymes (Tkt, Tal, Pps, and AroG) that, when overexpressed experimentally, increase yield to nearly the maximum theoretical limit. Systematic analysis of a toy network also correctly identifies the post-MCS overexpression that results in the largest increases in yield and absolute fluxes. These results indicates that wild-type steady-state flux data can be used to accurately identify enzyme perturbation targets for increasing yield and target flux values.
Author: Christoph Wittmann
Publisher: Springer Science & Business Media
Published: 2012-06-15
Total Pages: 391
ISBN-13: 9400745346
DOWNLOAD EBOOKSystems 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 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 fundaments to targeted engineering of microbial cells for sustainable bio-production and stimulates those who are interested to enter this exiting research field.
Author: Elmar Heinzle
Publisher: John Wiley & Sons
Published: 2021-07-06
Total Pages: 62
ISBN-13: 3527325247
DOWNLOAD EBOOKThis practical book presents the modeling of dynamic biological engineering processes in a readily comprehensible manner, using the unique combination of simplified fundamental theory and direct hands-on computer simulation. The mathematics is kept to a minimum, and yet the 60 examples illustrate almost every aspect of biological engineering science, with each one described in detail, including the model equations. The programs are written in the modern user-friendly simulation language Berkeley Madonna, which can be run on both Windows PC and Power-Macintosh computers. Madonna solves models comprising many ordinary differential equations using very simple programming, including arrays. It is so powerful that the model parameters may be defined as "sliders", which allow the effect of their change on the model behavior to be seen almost immediately. Data may be included for curve fitting, and sensitivity or multiple runs may be performed. The results can be viewed simultaneously on multiple-graph windows or by using overlays. The examples can be varied to fit any real situation, and the suggested exercises provide practical guidance. The extensive teaching experience of the authors is reflected in this well-balanced presentation, which is suitable for the teacher, student, biochemist or the engineer.
Author: Irwin H. Segel
Publisher:
Published: 2014
Total Pages: 957
ISBN-13: 9788126548156
DOWNLOAD EBOOKAuthor: Marco Fondi
Publisher: Humana Press
Published: 2018-08-30
Total Pages: 410
ISBN-13: 9781493985111
DOWNLOAD EBOOKThis volume looks at the latest methodologies used to study cellular metabolism with in silico approaches. The chapters in this book are divided into 3 parts: part I discusses tools and methods used for metabolic reconstructions and basic constraint-based metabolic modeling (CBMM); Part II explores protocols for the generation of experimental data for metabolic reconstruction and modeling, including transcriptomics, proteomics, and mutant generations; and Part III cover advanced techniques for quantitative modeling of cellular metabolism, including dynamic Flux Balance Analysis and multi-objective optimization. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Metabolic Network Reconstruction and Modeling: Methods and Protocols is a valuable resource for qualified investigators studying cellular metabolism, and novice researchers who want to start working with CBMM.