Boolean network models are one of the simplest models to study complex dynamic behavior
in biological systems. They can be applied to unravel the mechanisms regulating the …

Probabilistic Boolean network (PBN) modelling is a semi-quantitative approach widely used
for the study of the topology and dynamic aspects of biological systems. The combined use …

The constrained disorder principle defines the existence and function of living organisms.
The principle specifies that biological systems comprise a disorder within constrained …

Biological cells present a paradox, in that they show simultaneous stability and flexibility,
allowing them to adapt to new environments and to evolve over time. The emergence of …

The asymptotic dynamics of random Boolean networks subject to random fluctuations is
investigated. Under the influence of noise, the system can escape from the attractors of the …

The PI3K/AKT signaling pathway plays a role in most cellular functions linked to cancer
progression, including cell growth, proliferation, cell survival, tissue invasion and …

Modeling stochasticity in gene regulatory networks is an important and complex problem in
molecular systems biology. To elucidate intrinsic noise, several modeling strategies such as …

The gene networks that comprise the circadian clock modulate biological function across a
range of scales, from gene expression to performance and adaptive behaviour. The clock …

CD4+ T cells provide cell-mediated immunity in response to various antigens. During an
immune response, naïve CD4+ T cells differentiate into specialized effector T helper (Th1 …

Gene expression and gene regulatory networks dynamics are stochastic. The noise in the
temporal amounts of proteins and RNA molecules in cells arises from the stochasticity of …