Literature DB >> 20170399

On algebraic properties of extreme pathways in metabolic networks.

Dimitrije Jevremovic1, Cong T Trinh, Friedrich Srienc, Daniel Boley.   

Abstract

We give a concise development of some of the major algebraic properties of extreme pathways (pathways that cannot be the result of combining other pathways) of metabolic networks, contrasting them to those of elementary flux modes (pathways involving a minimal set of reactions). In particular, we show that an extreme pathway can be recognized by a rank test as simple as the existing rank test for elementary flux modes, without computing all the modes. We make the observation that, unlike elementary flux modes, the property of being an extreme pathway depends on the presence or absence of reactions beyond those involved in the pathway itself. Hence, the property of being an extreme pathway is not a local property. As a consequence, we find that the set of all elementary flux modes for a network includes all the elementary flux modes for all its subnetworks, but that this property does not hold for the set of all extreme pathways.

Entities:  

Mesh:

Year:  2010        PMID: 20170399      PMCID: PMC2909116          DOI: 10.1089/cmb.2009.0020

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  28 in total

1.  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

Review 2.  Two approaches for metabolic pathway analysis?

Authors:  Steffen Klamt; Jörg Stelling
Journal:  Trends Biotechnol       Date:  2003-02       Impact factor: 19.536

3.  Extreme pathway analysis of human red blood cell metabolism.

Authors:  Sharon J Wiback; Bernhard O Palsson
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

4.  Comparison of network-based pathway analysis methods.

Authors:  Jason A Papin; Joerg Stelling; Nathan D Price; Steffen Klamt; Stefan Schuster; Bernhard O Palsson
Journal:  Trends Biotechnol       Date:  2004-08       Impact factor: 19.536

5.  Metabolic pathway structures for recombinant protein synthesis in Escherichia coli.

Authors:  Natarajan Vijayasankaran; Ross Carlson; Friedrich Srienc
Journal:  Appl Microbiol Biotechnol       Date:  2005-10-13       Impact factor: 4.813

6.  Combinatorial complexity of pathway analysis in metabolic networks.

Authors:  Steffen Klamt; Jörg Stelling
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

7.  Modular decomposition of metabolic systems via null-space analysis.

Authors:  Mark G Poolman; Cristiana Sebu; Michael K Pidcock; David A Fell
Journal:  J Theor Biol       Date:  2007-08-19       Impact factor: 2.691

8.  Design, construction and performance of the most efficient biomass producing E. coli bacterium.

Authors:  Cong T Trinh; Ross Carlson; Aaron Wlaschin; Friedrich Srienc
Journal:  Metab Eng       Date:  2006-08-15       Impact factor: 9.783

9.  Reaction routes in biochemical reaction systems: algebraic properties, validated calculation procedure and example from nucleotide metabolism.

Authors:  S Schuster; C Hilgetag; J H Woods; D A Fell
Journal:  J Math Biol       Date:  2002-08       Impact factor: 2.259

10.  Estimation of the number of extreme pathways for metabolic networks.

Authors:  Matthew Yeung; Ines Thiele; Bernard O Palsson
Journal:  BMC Bioinformatics       Date:  2007-09-27       Impact factor: 3.169

View more
  5 in total

1.  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

2.  Parallelization of Nullspace Algorithm for the computation of metabolic pathways.

Authors:  Dimitrije Jevremović; Cong T Trinh; Friedrich Srienc; Carlos P Sosa; Daniel Boley
Journal:  Parallel Comput       Date:  2011-06       Impact factor: 0.986

3.  Finding MEMo: minimum sets of elementary flux modes.

Authors:  Annika Röhl; Alexander Bockmayr
Journal:  J Math Biol       Date:  2019-08-06       Impact factor: 2.259

4.  Efficient estimation of the maximum metabolic productivity of batch systems.

Authors:  Peter C St John; Michael F Crowley; Yannick J Bomble
Journal:  Biotechnol Biofuels       Date:  2017-01-31       Impact factor: 6.040

5.  A depth-first search algorithm to compute elementary flux modes by linear programming.

Authors:  Lake-Ee Quek; Lars K Nielsen
Journal:  BMC Syst Biol       Date:  2014-07-30
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.