Literature DB >> 17172657

Analyzing molecular reaction networks: from pathways to chemical organizations.

Christoph Kaleta1, Florian Centler, Peter Dittrich.   

Abstract

Pathways are typically the central concept in the analysis of biochemical reaction networks. A pathway can be interpreted as a chain of enzymatical reactions performing a specific biological function. A common way to study metabolic networks are minimal pathways that can operate at steady state called elementary modes. The theory of chemical organizations has recently been used to decompose biochemical networks into algebraically closed and self-maintaining subnetworks termed organizations. The aim of this paper is to elucidate the relation between these two concepts. Whereas elementary modes represent the boundaries of the potential behavior of the network, organizations define metabolite compositions that are likely to be present in biological feasible situations. Hence, steady state organizations consist of combinations of elementary modes. On the other hand, it is possible to assign a unique (and possibly empty) set of organizations to each elementary mode, indicating the metabolites accompanying the active pathway in a feasible steady state.

Mesh:

Year:  2006        PMID: 17172657     DOI: 10.1385/MB:34:2:117

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  5 in total

1.  A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks.

Authors:  S Schuster; D A Fell; T Dandekar
Journal:  Nat Biotechnol       Date:  2000-03       Impact factor: 54.908

2.  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

3.  Bridging the gap between stochastic and deterministic regimes in the kinetic simulations of the biochemical reaction networks.

Authors:  Jacek Puchałka; Andrzej M Kierzek
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

4.  Adenine and adenosine salvage pathways in erythrocytes and the role of S-adenosylhomocysteine hydrolase. A theoretical study using elementary flux modes.

Authors:  Stefan Schuster; Dimitar Kenanov
Journal:  FEBS J       Date:  2005-10       Impact factor: 5.542

5.  Computation of elementary modes: a unifying framework and the new binary approach.

Authors:  Julien Gagneur; Steffen Klamt
Journal:  BMC Bioinformatics       Date:  2004-11-04       Impact factor: 3.169

  5 in total
  6 in total

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Authors:  Patrick Frank; Elaine J Carlson; Robert M K Carlson; Britt Hedman; Keith O Hodgson
Journal:  J Inorg Biochem       Date:  2007-12-23       Impact factor: 4.155

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Journal:  Front Microbiol       Date:  2019-10-15       Impact factor: 5.640

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Authors:  Christoph Kaleta; Stephan Richter; Peter Dittrich
Journal:  Bioinformatics       Date:  2009-05-25       Impact factor: 6.937

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Authors:  Christoph Kaleta; Florian Centler; Pietro Speroni di Fenizio; Peter Dittrich
Journal:  BMC Syst Biol       Date:  2008-04-25

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Authors:  Peter Kreyssig; Christian Wozar; Stephan Peter; Tomás Veloz; Bashar Ibrahim; Peter Dittrich
Journal:  Bioinformatics       Date:  2014-09-01       Impact factor: 6.937

6.  Elementary vectors and autocatalytic sets for resource allocation in next-generation models of cellular growth.

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Journal:  PLoS Comput Biol       Date:  2022-02-01       Impact factor: 4.475

  6 in total

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