A closure scheme for chemical master equations.

ABSTRACT: Probability reigns in biology, with random molecular events dictating the fate of individual organisms, and propelling populations of species through evolution. In principle, the master probability equation provides the most complete model of probabilistic behavior in biomolecular networks. In practice, master equations describing complex reaction networks have remained unsolved for over 70 years. This practical challenge is a reason why master equations, for all their potential, have not inspired biological discovery. Herein, we present a closure scheme that solves the master probability equation of networks of chemical or biochemical reactions. We cast the master equation in terms of ordinary differential equations that describe the time evolution of probability distribution moments. We

SUBMITTER: Smadbeck P 

PROVIDER: S-EPMC3761596 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature