Literature DB >> 26066363

Recent advances in elementary flux modes and yield space analysis as useful tools in metabolic network studies.

Predrag Horvat1, Martin Koller, Gerhart Braunegg.   

Abstract

A review of the use of elementary flux modes (EFMs) and their applications in metabolic engineering covered with yield space analysis (YSA) is presented. EFMs are an invaluable tool in mathematical modeling of biochemical processes. They are described from their inception in 1994, followed by various improvements of their computation in later years. YSA constitutes another precious tool for metabolic network modeling, and is presented in details along with EFMs in this article. The application of these techniques is discussed for several case studies of metabolic network modeling provided in respective original articles. The article is concluded by some case studies in which the application of EFMs and YSA turned out to be most useful, such as the analysis of intracellular polyhydroxyalkanoate (PHA) formation and consumption in Cupriavidus necator, including the constraint-based description of the steady-state flux cone of the strain's metabolic network, the profound analysis of a continuous five-stage bioreactor cascade for PHA production by C. necator using EFMs and, finally, the study of metabolic fluxes in the metabolic network of C. necator cultivated on glycerol.

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Year:  2015        PMID: 26066363     DOI: 10.1007/s11274-015-1887-1

Source DB:  PubMed          Journal:  World J Microbiol Biotechnol        ISSN: 0959-3993            Impact factor:   3.312


  92 in total

1.  Metabolic network structure determines key aspects of functionality and regulation.

Authors:  Jörg Stelling; Steffen Klamt; Katja Bettenbrock; Stefan Schuster; Ernst Dieter Gilles
Journal:  Nature       Date:  2002-11-14       Impact factor: 49.962

Review 2.  Two approaches for metabolic pathway analysis?

Authors:  Steffen Klamt; Jörg Stelling
Journal:  Trends Biotechnol       Date:  2003-02       Impact factor: 19.536

3.  Metabolic pathway structures for recombinant protein synthesis in Escherichia coli.

Authors:  Natarajan Vijayasankaran; Ross Carlson; Friedrich Srienc
Journal:  Appl Microbiol Biotechnol       Date:  2005-10-13       Impact factor: 4.813

4.  Combinatorial complexity of pathway analysis in metabolic networks.

Authors:  Steffen Klamt; Jörg Stelling
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

5.  Design, construction and performance of the most efficient biomass producing E. coli bacterium.

Authors:  Cong T Trinh; Ross Carlson; Aaron Wlaschin; Friedrich Srienc
Journal:  Metab Eng       Date:  2006-08-15       Impact factor: 9.783

6.  In silico optimization and low structured kinetic model of poly[(R)-3-hydroxybutyrate] synthesis by Cupriavidus necator DSM 545 by fed-batch cultivation on glycerol.

Authors:  Ivna Vrana Spoljarić; Markan Lopar; Martin Koller; Alexander Muhr; Anna Salerno; Angelika Reiterer; Predrag Horvat
Journal:  J Biotechnol       Date:  2013-08-31       Impact factor: 3.307

7.  Phenotypic characterization of Corynebacterium glutamicum under osmotic stress conditions using elementary mode analysis.

Authors:  Meghna Rajvanshi; K V Venkatesh
Journal:  J Ind Microbiol Biotechnol       Date:  2010-12-05       Impact factor: 3.346

8.  In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data.

Authors:  J S Edwards; R U Ibarra; B O Palsson
Journal:  Nat Biotechnol       Date:  2001-02       Impact factor: 54.908

9.  Utilizing elementary mode analysis, pathway thermodynamics, and a genetic algorithm for metabolic flux determination and optimal metabolic network design.

Authors:  Brett A Boghigian; Hai Shi; Kyongbum Lee; Blaine A Pfeifer
Journal:  BMC Syst Biol       Date:  2010-04-23

10.  Modeling metabolic networks in C. glutamicum: a comparison of rate laws in combination with various parameter optimization strategies.

Authors:  Andreas Dräger; Marcel Kronfeld; Michael J Ziller; Jochen Supper; Hannes Planatscher; Jørgen B Magnus; Marco Oldiges; Oliver Kohlbacher; Andreas Zell
Journal:  BMC Syst Biol       Date:  2009-01-14
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