In this work we consider mass action chemical reaction networks, either closed or open, and focus on the hopping path that a tagged moiety makes from molecule to molecule because of the occurrence of the reactions. We develop the tool for simulating the stochastic paths by means of a Gillespie-like algorithm and provide examples of the master equation counterpart for simple archetype problems of general interest. Both stationary and transient conditions are taken into account. An explanatory case is adopted to illustrate the approach
36 pages, 10 figuresBuilding on Kirchhoff's treatment of electrical circuits, Hill and Schnakenberg ...
Behaviour of chemical networks that are described by systems of ordinary differential equations can ...
In this paper we consider a class of nonlinear reactions which are important in stochastic reaction ...
We consider stochastic descriptions of chemical reaction networks in which there are both fast and s...
Abstract Chemical reactions are discrete, stochastic events. As such, the species’ molecular numbers...
In this talk, we present stochastic modeling and computational methods for the time-evolution of rea...
Traditionally, the law of mass action has been used to deterministically model chemical reactions. T...
AbstractStochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analyzed thr...
Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analyzed through sol...
Stochasticity plays an essential role in the dynamics of biochemical systems. Stochastic behaviors o...
In most natural sciences there is currently the insight that it is necessary to bridge gaps between ...
36 pages, 10 figuresBuilding on Kirchhoff's treatment of electrical circuits, Hill and Schnakenberg ...
Complex networks, comprised of individual elements that interact with each other through reac-tion c...
Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analyzed through sol...
Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analysed through sol...
36 pages, 10 figuresBuilding on Kirchhoff's treatment of electrical circuits, Hill and Schnakenberg ...
Behaviour of chemical networks that are described by systems of ordinary differential equations can ...
In this paper we consider a class of nonlinear reactions which are important in stochastic reaction ...
We consider stochastic descriptions of chemical reaction networks in which there are both fast and s...
Abstract Chemical reactions are discrete, stochastic events. As such, the species’ molecular numbers...
In this talk, we present stochastic modeling and computational methods for the time-evolution of rea...
Traditionally, the law of mass action has been used to deterministically model chemical reactions. T...
AbstractStochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analyzed thr...
Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analyzed through sol...
Stochasticity plays an essential role in the dynamics of biochemical systems. Stochastic behaviors o...
In most natural sciences there is currently the insight that it is necessary to bridge gaps between ...
36 pages, 10 figuresBuilding on Kirchhoff's treatment of electrical circuits, Hill and Schnakenberg ...
Complex networks, comprised of individual elements that interact with each other through reac-tion c...
Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analyzed through sol...
Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analysed through sol...
36 pages, 10 figuresBuilding on Kirchhoff's treatment of electrical circuits, Hill and Schnakenberg ...
Behaviour of chemical networks that are described by systems of ordinary differential equations can ...
In this paper we consider a class of nonlinear reactions which are important in stochastic reaction ...