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 …

Regulatory dependencies in molecular networks are the basis of dynamic behaviors
affecting the phenotypical landscape. With the advance of high throughput technologies, the …

The balance between pro-and anti-inflammatory immune system responses is crucial to face
and counteract complex diseases such as cancer. Macrophages are an essential population …

Boolean networks (BNs) provide an effective modelling tool for various phenomena from
science and engineering. Any long-term behaviour of a BN eventually converges to a so …

Cyclic attractors generated from Boolean models may explain the adaptability of a cell in
response to a dynamical complex tumor microenvironment. In contrast to this idea, we …

Dynamic models analyzing gene regulation and metabolism face challenges when adapted
to modeling signal transduction networks. During signal transduction, molecular reactions …

Motivation Boolean networks can serve as straightforward models for understanding
processes such as gene regulation, and employing logical rules. These rules can either be …

Simple Summary Unraveling the mechanistic regulations that influence tumor behavior is an
important step towards treatment. However, in vitro studies capture only small parts of the …

Virus-related mortality and morbidity are due to cell/tissue damage caused by replicative
pressure and resource exhaustion, eg, HBV or HIV; exaggerated immune responses, eg …

The dynamics of complex biological networks may be modeled in a Boolean framework,
where the state of each system component is either abundant (ON) or scarce/absent (OFF) …