The chemical master equation and the Gillespie algorithm are widely used to model the
reaction kinetics inside living cells. It is thereby assumed that cell growth and division can be …

Intracellular reaction rates depend on concentrations and hence their levels are often
regulated. However classical models of stochastic gene expression lack a cell size …

Recent experimental studies elucidating the importance of noise in gene regulation have
ignited widespread interest in Gillespie's stochastic simulation technique for biochemical …

Noise in gene expression, either due to inherent stochasticity or to varying inter-and
intracellular environment, can generate significant cell-to-cell variability of protein levels in …

Recent single-cell experiments have revived interest in the unavoidable or intrinsic noise in
biochemical and genetic networks arising from the small number of molecules of the …

Experiments in recent years have vividly demonstrated that gene expression can be highly
stochastic. How protein concentration fluctuations affect the growth rate of a population of …

Within a population of genetically identical cells there can be significant variation, or noise,
in gene expression. Yet even with this inherent variability, cells function reliably. This review …

The dynamics of stochastic reaction networks within cells are inevitably modulated by factors
considered extrinsic to the network such as, for instance, the fluctuations in ribosome copy …

A key goal of systems biology is the predictive mathematical description of gene regulatory
circuits. Different approaches are used such as deterministic and stochastic models, models …

From biochemistry to ecology, many biological systems are stochastic, complex, and
sparsely characterized. In such systems, each component may respond to changes in any …