Stochastic chemical kinetics describes the time evolution of a well-stirred chemically
reacting system in a way that takes into account the fact that molecules come in whole …

Monte Carlo methods are heuristic algorithms that use probabilities to select an outcome
among several possible events in a given process. Monte Carlo methods are useful in …

Following DNA damage caused by exogenous sources, such as ionizing radiation, the
tumour suppressor p53 mediates cell cycle arrest via expression of the CDK inhibitor, p21 …

Roughly at the time (1987) when the manuscript for the first three chapters of the present
book was completed, several breakthroughs occurred. They had a profound influence on the …

Gene expression occurs either as an episodic process, characterized by pulsatile bursts, or
as a constitutive process, characterized by a Poisson-like accumulation of gene products. It …

We outline our perspective on stochastic chemical kinetics, paying particular attention to
numerical simulation algorithms. We first focus on dilute, well-mixed systems, whose …

Biochemical reactions are subject to stochastic fluctuations that can give rise to cell-to-cell
variability. Yet, how this variability affects viral infections, which themselves involve noisy …

Stochastic modeling techniques have emerged as a powerful tool to study the time evolution
of processes in many research fields including (bio) chemical engineering and biology. One …

The emerging, multi-disciplinary field of systems biology is devoted to the study of the
relationships between various parts of a biological system, and computer modeling plays a …

Computer simulations have become an invaluable tool to study the sometimes
counterintuitive temporal dynamics of (bio-) chemical systems. In particular, stochastic …