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This paper is concerned with the dynamical properties of deterministically modeled chemical reaction systems with mass-action kinetics. Such models are ubiquitously found in chemistry, population biology, and the burgeoning field of systems…

Dynamical Systems · Mathematics 2011-06-20 David F. Anderson

We consider discrete-space continuous-time Markov models of reaction networks and provide sufficient conditions for the following stability condition to hold: each state in a closed, irreducible component of the state space is positive…

Probability · Mathematics 2018-08-23 David F. Anderson , Jinsu Kim

A natural condition on the structure of the underlying chemical reaction network, namely weak reversibility, is shown to guarantee the existence of an equilibrium (steady state) in each positive stoichiometric compatibility class for the…

Quantitative Methods · Quantitative Biology 2011-11-14 Jian Deng , Christopher Jones , Martin Feinberg , Adrian Nachman

Reaction networks are mathematical models of interacting chemical species that are primarily used in biochemistry. There are two modeling regimes that are typically used, one of which is deterministic and one that is stochastic. In…

Molecular Networks · Quantitative Biology 2018-09-14 David Anderson , Daniele Cappelletti

In the study of reaction networks and the polynomial dynamical systems that they generate, special classes of networks with important properties have been identified. These include reversible, weakly reversible}, and, more recently,…

Dynamical Systems · Mathematics 2020-07-30 David F. Anderson , James D. Brunner , Gheorghe Craciun , Matthew D. Johnston

We show that weakly reversible mass-action systems can have a continuum of positive steady states, coming from the zeroes of a multivariate polynomial. Moreover, the same is true of systems whose underlying reaction network is reversible…

Molecular Networks · Quantitative Biology 2022-09-14 Balázs Boros , Gheorghe Craciun , Polly Y. Yu

Mass-action kinetics is frequently used in systems biology to model the behaviour of interacting chemical species. Many important dynamical properties are known to hold for such systems if they are weakly reversible and have a low…

Dynamical Systems · Mathematics 2014-07-15 Matthew D. Johnston , David Siegel , Gábor Szederkényi

Stochastic reaction networks are dynamical models of biochemical reaction systems and form a particular class of continuous-time Markov chains on $\mathbb{N}^n$. Here we provide a fundamental characterisation that connects structural…

Probability · Mathematics 2018-05-22 Daniele Cappelletti , Carsten Wiuf

Under suitable assumptions, the dynamic behaviour of a chemical reaction network is governed by an autonomous set of polynomial ordinary differential equations over continuous variables representing the concentrations of the reactant…

Dynamical Systems · Mathematics 2014-07-15 Matthew D. Johnston , David Siegel

This paper is concerned with the dynamical properties of deterministically modeled chemical reaction systems. Specifically, this paper provides a proof of the Global Attractor Conjecture in the setting where the underlying reaction diagram…

Dynamical Systems · Mathematics 2011-05-18 David F. Anderson

Stochastic reaction networks (SRNs) provide models of many real-world networks. Examples include networks in epidemiology, pharmacology, genetics, ecology, chemistry, and social sciences. Here, we model stochastic reaction networks by…

Probability · Mathematics 2023-01-26 Carsten Wiuf , Chuang Xu

Given a dynamical system with polynomial right-hand side, can it be generated by a reaction network that possesses certain properties? This question is important because some network properties may guarantee specific dynamical properties,…

Dynamical Systems · Mathematics 2023-03-17 Gheorghe Craciun , Abhishek Deshpande , Jiaxin Jin

Chemical reaction networks describe interactions between biochemical species. Once an underlying reaction network is given for a biochemical system, the system dynamics can be modelled with various mathematical frameworks such as continuous…

Probability · Mathematics 2023-06-22 German Enciso , Radek Erban , Jinsu Kim

Reaction networks are mainly used to model the time-evolution of molecules of interacting chemical species. Stochastic models are typically used when the counts of the molecules are low, whereas deterministic models are used when the counts…

Probability · Mathematics 2019-10-04 David Anderson , Daniele Cappelletti , Jinsu Kim , Tung Nguyen

We establish that mass conserving single terminal-linkage networks of chemical reactions admit positive steady states regardless of network deficiency and the choice of reaction rate constants. This result holds for closed systems without…

Molecular Networks · Quantitative Biology 2015-03-19 Santiago Akle , Onkar Dalal , Ronan M. T. Fleming , Michael Saunders , Nicole Taheri , Yinyu Ye

Reaction networks can display a wide array of dynamics. However, it is possible for different reaction networks to display the same dynamics. This phenomenon is called dynamical equivalence and makes network identification a hard problem to…

Dynamical Systems · Mathematics 2022-05-03 Abhishek Deshpande

We describe a large class of chemical reaction networks, those endowed with a subtle structural property called concordance. We show that the class of concordant networks coincides precisely with the class of networks which, when taken with…

Molecular Networks · Quantitative Biology 2011-09-15 Guy Shinar , Martin Feinberg

We give a new proof of the fact that each weakly reversible mass-action system with a single linkage class is permanent.

Dynamical Systems · Mathematics 2022-09-14 Balázs Boros , Josef Hofbauer

We investigate the possibility that for any given reaction rate vector $k$ associated with a network $G$, there exists another network $G'$ with a corresponding reaction rate vector that reproduces the mass-action dynamics generated by…

Dynamical Systems · Mathematics 2024-09-10 Samay Kothari , Jiaxin Jin , Abhishek Deshpande

A reaction network is a chemical system involving multiple reactions and chemical species. Stochastic models of such networks treat the system as a continuous time Markov chain on the number of molecules of each species with reactions as…

Probability · Mathematics 2007-05-23 Karen Ball , Thomas G. Kurtz , Lea Popovic , Greg Rempala
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