Literature DB >> 22940368

Concordant chemical reaction networks and the Species-Reaction Graph.

Guy Shinar1, Martin Feinberg.   

Abstract

In a recent paper it was shown that, for chemical reaction networks possessing a subtle structural property called concordance, dynamical behavior of a very circumscribed (and largely stable) kind is enforced, so long as the kinetics lies within the very broad and natural weakly monotonic class. In particular, multiple equilibria are precluded, as are degenerate positive equilibria. Moreover, under certain circumstances, also related to concordance, all real eigenvalues associated with a positive equilibrium are negative. Although concordance of a reaction network can be decided by readily available computational means, we show here that, when a nondegenerate network's Species-Reaction Graph satisfies certain mild conditions, concordance and its dynamical consequences are ensured. These conditions are weaker than earlier ones invoked to establish kinetic system injectivity, which, in turn, is just one ramification of network concordance. Because the Species-Reaction Graph resembles pathway depictions often drawn by biochemists, results here expand the possibility of inferring significant dynamical information directly from standard biochemical reaction diagrams.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22940368      PMCID: PMC4701587          DOI: 10.1016/j.mbs.2012.08.002

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  6 in total

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2.  Understanding bistability in complex enzyme-driven reaction networks.

Authors:  Gheorghe Craciun; Yangzhong Tang; Martin Feinberg
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-30       Impact factor: 11.205

3.  Multiple equilibria in complex chemical reaction networks: extensions to entrapped species models.

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4.  Structural sources of robustness in biochemical reaction networks.

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Review 5.  Design principles for robust biochemical reaction networks: what works, what cannot work, and what might almost work.

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Journal:  Math Biosci       Date:  2011-03-04       Impact factor: 2.144

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  6 in total
  7 in total

1.  Sharper graph-theoretical conditions for the stabilization of complex reaction networks.

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Journal:  Math Biosci       Date:  2015-01-17       Impact factor: 2.144

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Review 5.  A structural approach to understanding enzymatic regulation of chemical reaction networks.

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6.  Maximization of information transmission influences selection of native phosphorelay architectures.

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7.  Split histidine kinases enable ultrasensitivity and bistability in two-component signaling networks.

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  7 in total

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