Literature DB >> 15283984

Comparison of network-based pathway analysis methods.

Jason A Papin1, Joerg Stelling, Nathan D Price, Steffen Klamt, Stefan Schuster, Bernhard O Palsson.   

Abstract

Network-based definitions of biochemical pathways have emerged in recent years. These pathway definitions insist on the balanced use of a whole network of biochemical reactions. Two such related definitions, elementary modes and extreme pathways, have generated novel hypotheses regarding biochemical network function. The relationship between these two approaches can be illustrated by comparing and contrasting the elementary modes and extreme pathways of previously published metabolic reconstructions of the human red blood cell (RBC) and the human pathogen Helicobacter pylori. Descriptions of network properties generated by using these two approaches in the analysis of realistic metabolic networks need careful interpretation.

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Year:  2004        PMID: 15283984     DOI: 10.1016/j.tibtech.2004.06.010

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


  81 in total

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2.  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

3.  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

Review 4.  Systems interface biology.

Authors:  Francis J Doyle; Jörg Stelling
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5.  Candidate states of Helicobacter pylori's genome-scale metabolic network upon application of "loop law" thermodynamic constraints.

Authors:  Nathan D Price; Ines Thiele; Bernhard Ø Palsson
Journal:  Biophys J       Date:  2006-03-13       Impact factor: 4.033

6.  Equality of average and steady-state levels in some nonlinear models of biological oscillations.

Authors:  Beate Knoke; Marko Marhl; Matjaz Perc; Stefan Schuster
Journal:  Theory Biosci       Date:  2008-01-15       Impact factor: 1.919

7.  Bayesian flux balance analysis applied to a skeletal muscle metabolic model.

Authors:  Jenni Heino; Knarik Tunyan; Daniela Calvetti; Erkki Somersalo
Journal:  J Theor Biol       Date:  2007-04-10       Impact factor: 2.691

8.  Flux modules in metabolic networks.

Authors:  Arne C Müller; Alexander Bockmayr
Journal:  J Math Biol       Date:  2013-10-19       Impact factor: 2.259

9.  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

Review 10.  Nanovehicular intracellular delivery systems.

Authors:  Ales Prokop; Jeffrey M Davidson
Journal:  J Pharm Sci       Date:  2008-09       Impact factor: 3.534

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