Literature DB >> 12573854

Two approaches for metabolic pathway analysis?

Steffen Klamt1, Jörg Stelling.   

Abstract

Metabolic pathway analysis is becoming increasingly important for assessing inherent network properties in (reconstructed) biochemical reaction networks. Of the two most promising concepts for pathway analysis, one relies on elementary flux modes and the other on extreme pathways. These concepts are closely related because extreme pathways are a subset of elementary modes. Here, the common features, differences and applicability of these concepts are discussed. Assessing metabolic systems by the set of extreme pathways can, in general, give misleading results owing to the exclusion of possibly important routes. However, in certain network topologies, the sets of elementary modes and extreme pathways coincide. This is quite often the case in realistic applications. In our opinion, the unification of both approaches into one common framework for metabolic pathway analysis is necessary and achievable.

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Year:  2003        PMID: 12573854     DOI: 10.1016/s0167-7799(02)00034-3

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


  61 in total

1.  Flux coupling analysis of genome-scale metabolic network reconstructions.

Authors:  Anthony P Burgard; Evgeni V Nikolaev; Christophe H Schilling; Costas D Maranas
Journal:  Genome Res       Date:  2004-01-12       Impact factor: 9.043

2.  Deep epistasis in human metabolism.

Authors:  Marcin Imielinski; Calin Belta
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3.  Analysis of metabolic subnetworks by flux cone projection.

Authors:  Sayed-Amir Marashi; Laszlo David; Alexander Bockmayr
Journal:  Algorithms Mol Biol       Date:  2012-05-29       Impact factor: 1.405

Review 4.  In Silico Constraint-Based Strain Optimization Methods: the Quest for Optimal Cell Factories.

Authors:  Paulo Maia; Miguel Rocha; Isabel Rocha
Journal:  Microbiol Mol Biol Rev       Date:  2015-11-25       Impact factor: 11.056

5.  The Influence of Crowding Conditions on the Thermodynamic Feasibility of Metabolic Pathways.

Authors:  Liliana Angeles-Martinez; Constantinos Theodoropoulos
Journal:  Biophys J       Date:  2015-12-01       Impact factor: 4.033

6.  On algebraic properties of extreme pathways in metabolic networks.

Authors:  Dimitrije Jevremovic; Cong T Trinh; Friedrich Srienc; Daniel Boley
Journal:  J Comput Biol       Date:  2010-02       Impact factor: 1.479

7.  Kinetic constraints for formation of steady states in biochemical networks.

Authors:  Junli Liu
Journal:  Biophys J       Date:  2005-02-24       Impact factor: 4.033

8.  The geometry of the flux cone of a metabolic network.

Authors:  Clemens Wagner; Robert Urbanczik
Journal:  Biophys J       Date:  2005-09-23       Impact factor: 4.033

9.  Structural analyses of a hypothetical minimal metabolism.

Authors:  Toni Gabaldón; Juli Peretó; Francisco Montero; Rosario Gil; Amparo Latorre; Andrés Moya
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-10-29       Impact factor: 6.237

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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