Literature DB >> 10592531

Metabolic network analysis. A powerful tool in metabolic engineering.

B Christensen1, J Nielsen.   

Abstract

Metabolic network analysis is a tool for investigating the features that identify the topology of a metabolic network and the relative activities of its individual branches. The pillars of metabolic network analysis are mathematical modeling, allowing for a quantitative analysis, biochemical knowledge of, for example, reaction stoichiometry, and the experimental techniques, providing input for the modeling part. The modeling part includes metabolite balancing, usually the basis for metabolic flux analysis, and isotope balancing. Isotope balancing can be used for both identification of active pathways and for estimation of the relative fluxes through two pathways leading to the same metabolite, aspects that are difficult to investigate using metabolite balancing. The combination of metabolite and isotope balancing is very powerful and constitutes the basis of metabolic network analysis. With the main focus being on investigating the metabolic network structure, this review describes how central metabolic features, for example, pathway identification, flux distribution, and compartmentation, can be addressed using a combination of metabolite balancing and labeling experiments.

Mesh:

Substances:

Year:  2000        PMID: 10592531

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


  19 in total

1.  Prospects of a computational origin of life endeavor.

Authors:  Barak Shenhav; Doron Lancet
Journal:  Orig Life Evol Biosph       Date:  2004-02       Impact factor: 1.950

Review 2.  Metabolic engineering of Saccharomyces cerevisiae.

Authors:  S Ostergaard; L Olsson; J Nielsen
Journal:  Microbiol Mol Biol Rev       Date:  2000-03       Impact factor: 11.056

3.  The thermodynamic meaning of metabolic exchange fluxes.

Authors:  Wolfgang Wiechert
Journal:  Biophys J       Date:  2007-05-25       Impact factor: 4.033

4.  A critical view of metabolic network adaptations.

Authors:  Balázs Papp; Bas Teusink; Richard A Notebaart
Journal:  HFSP J       Date:  2008-12-03

5.  Network identification and flux quantification in the central metabolism of Saccharomyces cerevisiae under different conditions of glucose repression.

Authors:  A K Gombert; M Moreira dos Santos ; B Christensen; J Nielsen
Journal:  J Bacteriol       Date:  2001-02       Impact factor: 3.490

6.  Computational modeling of mitochondrial function.

Authors:  Sonia Cortassa; Miguel A Aon
Journal:  Methods Mol Biol       Date:  2012

7.  Metabolic flux responses to pyruvate kinase knockout in Escherichia coli.

Authors:  Marcel Emmerling; Michael Dauner; Aaron Ponti; Jocelyne Fiaux; Michel Hochuli; Thomas Szyperski; Kurt Wüthrich; J E Bailey; Uwe Sauer
Journal:  J Bacteriol       Date:  2002-01       Impact factor: 3.490

Review 8.  Understanding the art of producing protein and nonprotein molecules in Escherichia coli.

Authors:  P Balbás
Journal:  Mol Biotechnol       Date:  2001-11       Impact factor: 2.695

9.  Metabolic-flux profiling of the yeasts Saccharomyces cerevisiae and Pichia stipitis.

Authors:  Jocelyne Fiaux; Z Petek Cakar; Marco Sonderegger; Kurt Wüthrich; Thomas Szyperski; Uwe Sauer
Journal:  Eukaryot Cell       Date:  2003-02

10.  The Bacillus subtilis yqjI gene encodes the NADP+-dependent 6-P-gluconate dehydrogenase in the pentose phosphate pathway.

Authors:  Nicola Zamboni; Eliane Fischer; Dietmar Laudert; Stéphane Aymerich; Hans-Peter Hohmann; Uwe Sauer
Journal:  J Bacteriol       Date:  2004-07       Impact factor: 3.490

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.