Literature DB >> 10087604

Detection of elementary flux modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering.

S Schuster1, T Dandekar, D A Fell.   

Abstract

Rational metabolic engineering requires powerful theoretical methods such as pathway analysis, in which the topology of metabolic networks is considered. All metabolic capabilities in steady states are composed of elementary flux modes, which are minimal sets of enzymes that can each generate valid steady states. The modes of the fructose-2,6-bisphosphate cycle, the combined tricarboxylic-acid-glyoxylate-shunt system and tryptophan synthesis are used here for illustration. This approach can be used for many biotechnological applications such as increasing the yield of a product, channelling a product into desired pathways and in functional reconstruction from genomic data.

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Year:  1999        PMID: 10087604     DOI: 10.1016/s0167-7799(98)01290-6

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  140 in total

1.  Pathway alignment: application to the comparative analysis of glycolytic enzymes.

Authors:  T Dandekar; S Schuster; B Snel; M Huynen; P Bork
Journal:  Biochem J       Date:  1999-10-01       Impact factor: 3.857

2.  The Escherichia coli MG1655 in silico metabolic genotype: its definition, characteristics, and capabilities.

Authors:  J S Edwards; B O Palsson
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

Review 3.  Metabolomics--the link between genotypes and phenotypes.

Authors:  Oliver Fiehn
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

Review 4.  Thirteen years of building constraint-based in silico models of Escherichia coli.

Authors:  Jennifer L Reed; Bernhard Ø Palsson
Journal:  J Bacteriol       Date:  2003-05       Impact factor: 3.490

5.  GeneCensus: genome comparisons in terms of metabolic pathway activity and protein family sharing.

Authors:  J Lin; J Qian; D Greenbaum; P Bertone; R Das; N Echols; A Senes; B Stenger; M Gerstein
Journal:  Nucleic Acids Res       Date:  2002-10-15       Impact factor: 16.971

Review 6.  Succinate production in Escherichia coli.

Authors:  Chandresh Thakker; Irene Martínez; Ka-Yiu San; George N Bennett
Journal:  Biotechnol J       Date:  2011-09-20       Impact factor: 4.677

7.  Extreme pathway lengths and reaction participation in genome-scale metabolic networks.

Authors:  Jason A Papin; Nathan D Price; Bernhard Ø Palsson
Journal:  Genome Res       Date:  2002-12       Impact factor: 9.043

8.  Energy balance for analysis of complex metabolic networks.

Authors:  Daniel A Beard; Shou-dan Liang; Hong Qian
Journal:  Biophys J       Date:  2002-07       Impact factor: 4.033

9.  Metabolic analysis of Chlorobium chlorochromatii CaD3 reveals clues of the symbiosis in 'Chlorochromatium aggregatum'.

Authors:  Daniel Cerqueda-García; León P Martínez-Castilla; Luisa I Falcón; Luis Delaye
Journal:  ISME J       Date:  2013-11-28       Impact factor: 10.302

10.  Lysine overproducing Corynebacterium glutamicum is characterized by a robust linear combination of two optimal phenotypic states.

Authors:  Meghna Rajvanshi; Kalyan Gayen; K V Venkatesh
Journal:  Syst Synth Biol       Date:  2013-04-17
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