Literature DB >> 17869313

A Petri net approach to the study of persistence in chemical reaction networks.

David Angeli1, Patrick De Leenheer, Eduardo D Sontag.   

Abstract

Persistence is the property, for differential equations in R(n), that solutions starting in the positive orthant do not approach the boundary of the orthant. For chemical reactions and population models, this translates into the non-extinction property: provided that every species is present at the start of the reaction, no species will tend to be eliminated in the course of the reaction. This paper provides checkable conditions for persistence of chemical species in reaction networks, using concepts and tools from Petri net theory, and verifies these conditions on various systems which arise in the modeling of cell signaling pathways.

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Year:  2007        PMID: 17869313     DOI: 10.1016/j.mbs.2007.07.003

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


  11 in total

1.  BioNetSim: a Petri net-based modeling tool for simulations of biochemical processes.

Authors:  Junhui Gao; Li Li; Xiaolin Wu; Dong-Qing Wei
Journal:  Protein Cell       Date:  2012-03-10       Impact factor: 14.870

2.  On the number of steady states in a multiple futile cycle.

Authors:  Liming Wang; Eduardo D Sontag
Journal:  J Math Biol       Date:  2007-11-16       Impact factor: 2.259

3.  Graph-theoretic characterizations of monotonicity of chemical networks in reaction coordinates.

Authors:  David Angeli; Patrick De Leenheer; Eduardo Sontag
Journal:  J Math Biol       Date:  2009-12-01       Impact factor: 2.259

4.  A computational approach to persistence, permanence, and endotacticity of biochemical reaction systems.

Authors:  Matthew D Johnston; Casian Pantea; Pete Donnell
Journal:  J Math Biol       Date:  2015-05-19       Impact factor: 2.259

5.  Chemical Schemes for Maintaining Different Compositions Across a Semi-permeable Membrane with Application to Proto-cells.

Authors:  Erwan Bigan; Jean-Marc Steyaert; Stéphane Douady
Journal:  Orig Life Evol Biosph       Date:  2015-07-24       Impact factor: 1.950

6.  Necessary and sufficient conditions for protocell growth.

Authors:  Erwan Bigan; Loïc Paulevé; Jean-Marc Steyaert; Stéphane Douady
Journal:  J Math Biol       Date:  2016-04-18       Impact factor: 2.259

7.  Intermediates, catalysts, persistence, and boundary steady states.

Authors:  Michael Marcondes de Freitas; Elisenda Feliu; Carsten Wiuf
Journal:  J Math Biol       Date:  2016-08-01       Impact factor: 2.259

8.  Dynamical properties of Discrete Reaction Networks.

Authors:  Loïc Paulevé; Gheorghe Craciun; Heinz Koeppl
Journal:  J Math Biol       Date:  2013-05-31       Impact factor: 2.259

9.  Derivation of stationary distributions of biochemical reaction networks via structure transformation.

Authors:  Hyukpyo Hong; Jinsu Kim; M Ali Al-Radhawi; Eduardo D Sontag; Jae Kyoung Kim
Journal:  Commun Biol       Date:  2021-05-24

10.  Characterizing multistationarity regimes in biochemical reaction networks.

Authors:  Irene Otero-Muras; Julio R Banga; Antonio A Alonso
Journal:  PLoS One       Date:  2012-07-03       Impact factor: 3.240

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