Stochasticity can play an important role in the dynamics of biologically relevant populations.
These span a broad range of scales: from intra-cellular populations of molecules to …

Many cellular processes are governed by stochastic reaction events. These events do not
necessarily occur in single steps of individual molecules, and, conversely, each birth or …

Cellular processes do not follow deterministic rules; even in identical environments
genetically identical cells can make random choices leading to different phenotypes. This …

Evolution occurs in populations of reproducing individuals. Reproduction depends on the
payoff a strategy receives. The payoff depends on the environment that may change over …

We study the long-time dynamics in non-Markovian single-population stochastic models,
where one or more reactions are modeled as a stochastic process with a fat-tailed …

The paper outlines a general approach to deriving quasi-steady-state approximations
(QSSAs) of the stochastic reaction networks describing the Michaelis–Menten enzyme …

Background Genetic switches exhibit multistability, form the basis of epigenetic memory, and
are found in natural decision making systems, such as cell fate determination in …

Background In bimodal distribution, we refer ON to the mode with a higher protein level and
OFF to a lower protein level. The traditional wisdom of manipulating the population in each …

Burst-like synthesis of protein is a significant source of cell-to-cell variability in protein levels.
Negative feedback is a common example of a regulatory mechanism by which such …

Intracellular biochemical networks often display large fluctuations in the molecule numbers
or the concentrations of reactive species, making molecular approaches necessary for …