Literature DB >> 17052121

Analysis of structural robustness of metabolic networks.

T Wilhelm1, J Behre, S Schuster.   

Abstract

We study the structural robustness of metabolic networks on the basis of the concept of elementary flux modes. It is shown that the number of elementary modes itself is not an appropriate measure of structural robustness. Instead, we introduce three new robustness measures. These are based on the relative number of elementary modes remaining after the knockout of enzymes. We discuss the relevance of these measures with the help of simple examples, as well as with larger, realistic metabolic networks. Thereby we demonstrate quantitatively that the metabolism of Escherichia coli, which must be able to adapt to varying conditions, is more robust than the metabolism of the human erythrocyte, which lives under much more homeostatic conditions.

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Year:  2004        PMID: 17052121     DOI: 10.1049/sb:20045004

Source DB:  PubMed          Journal:  Syst Biol (Stevenage)        ISSN: 1741-2471


  22 in total

1.  Deep epistasis in human metabolism.

Authors:  Marcin Imielinski; Calin Belta
Journal:  Chaos       Date:  2010-06       Impact factor: 3.642

Review 2.  Metabolic flux analysis of Escherichia coli knockouts: lessons from the Keio collection and future outlook.

Authors:  Christopher P Long; Maciek R Antoniewicz
Journal:  Curr Opin Biotechnol       Date:  2014-03-28       Impact factor: 9.740

3.  Cascading failure and robustness in metabolic networks.

Authors:  Ashley G Smart; Luis A N Amaral; Julio M Ottino
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-02       Impact factor: 11.205

4.  Phenotypic characterization of Corynebacterium glutamicum using elementary modes towards synthesis of amino acids.

Authors:  Devesh Radhakrishnan; Meghna Rajvanshi; K V Venkatesh
Journal:  Syst Synth Biol       Date:  2011-02-22

Review 5.  Elementary mode analysis: a useful metabolic pathway analysis tool for characterizing cellular metabolism.

Authors:  Cong T Trinh; Aaron Wlaschin; Friedrich Srienc
Journal:  Appl Microbiol Biotechnol       Date:  2008-11-15       Impact factor: 4.813

6.  Networked buffering: a basic mechanism for distributed robustness in complex adaptive systems.

Authors:  James M Whitacre; Axel Bender
Journal:  Theor Biol Med Model       Date:  2010-06-15       Impact factor: 2.432

7.  Biological robustness: paradigms, mechanisms, and systems principles.

Authors:  James Michael Whitacre
Journal:  Front Genet       Date:  2012-05-11       Impact factor: 4.599

8.  Understanding regulation of metabolism through feasibility analysis.

Authors:  Emrah Nikerel; Jan Berkhout; Fengyuan Hu; Bas Teusink; Marcel J T Reinders; Dick de Ridder
Journal:  PLoS One       Date:  2012-07-09       Impact factor: 3.240

9.  Genome-scale gene/reaction essentiality and synthetic lethality analysis.

Authors:  Patrick F Suthers; Alireza Zomorrodi; Costas D Maranas
Journal:  Mol Syst Biol       Date:  2009-08-18       Impact factor: 11.429

10.  Integrating cellular metabolism into a multiscale whole-body model.

Authors:  Markus Krauss; Stephan Schaller; Steffen Borchers; Rolf Findeisen; Jörg Lippert; Lars Kuepfer
Journal:  PLoS Comput Biol       Date:  2012-10-25       Impact factor: 4.475

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