Before revision: Quantitative mechanistic models based on reaction networks with stochastic chemical kinetics can help elucidate fundamental biological process where random fluctuations are relevant , such as in single cells. The dynamics of such models is described by the master equation , which provides the time course evolution of the probability distribution across the discrete state space consisting of vectors of population levels of the interacting biochemical species.
After revision: Quantitative mechanistic models based on reaction networks with stochastic chemical kinetics can help elucidate fundamental biological process where random fluctuations are relevant . The master equation provides the evolution of the probability distribution across the discrete state space consisting of vectors of population levels of the interacting biochemical species.