Literature DB >> 30599071

A Deficiency-Based Approach to Parametrizing Positive Equilibria of Biochemical Reaction Systems.

Matthew D Johnston1, Stefan Müller2, Casian Pantea3.   

Abstract

We present conditions which guarantee a parametrization of the set of positive equilibria of a generalized mass-action system. Our main results state that (1) if the underlying generalized chemical reaction network has an effective deficiency of zero, then the set of positive equilibria coincides with the parametrized set of complex-balanced equilibria and (2) if the network is weakly reversible and has a kinetic deficiency of zero, then the equilibrium set is nonempty and has a positive, typically rational, parametrization. Via the method of network translation, we apply our results to classical mass-action systems studied in the biochemical literature, including the EnvZ-OmpR and shuttled WNT signaling pathways. A parametrization of the set of positive equilibria of a (generalized) mass-action system is often a prerequisite for the study of multistationarity and allows an easy check for the occurrence of absolute concentration robustness, as we demonstrate for the EnvZ-OmpR pathway.

Entities:  

Keywords:  Algebraic variety; Chemical kinetics; Chemical reaction network; Deficiency; Equilibrium

Mesh:

Substances:

Year:  2018        PMID: 30599071      PMCID: PMC6397143          DOI: 10.1007/s11538-018-00562-0

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  11 in total

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6.  A Computational Approach to Steady State Correspondence of Regular and Generalized Mass Action Systems.

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Journal:  Bull Math Biol       Date:  2015-04-21       Impact factor: 1.758

7.  Network Translation and Steady-State Properties of Chemical Reaction Systems.

Authors:  Elisa Tonello; Matthew D Johnston
Journal:  Bull Math Biol       Date:  2018-08-07       Impact factor: 1.758

8.  Complex-linear invariants of biochemical networks.

Authors:  Robert L Karp; Mercedes Pérez Millán; Tathagata Dasgupta; Alicia Dickenstein; Jeremy Gunawardena
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9.  Translated chemical reaction networks.

Authors:  Matthew D Johnston
Journal:  Bull Math Biol       Date:  2014-03-08       Impact factor: 1.758

10.  Identifying parameter regions for multistationarity.

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Journal:  PLoS Comput Biol       Date:  2017-10-03       Impact factor: 4.475

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  1 in total

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