Exact probability distributions of selected species in stochastic chemical reaction networks.

ABSTRACT: Chemical reactions are discrete, stochastic events. As such, the species' molecular numbers can be described by an associated master equation. However, handling such an equation may become difficult due to the large size of reaction networks. A commonly used approach to forecast the behaviour of reaction networks is to perform computational simulations of such systems and analyse their outcome statistically. This approach, however, might require high computational costs to provide accurate results. In this paper we opt for an analytical approach to obtain the time-dependent solution of the Chemical Master Equation for selected species in a general reaction network. When the reaction networks are composed exclusively of zeroth and first-order reactions, this analytical approach significantl

SUBMITTER: Lopez-Caamal F 

PROVIDER: S-EPMC4153981 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature