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 …

The nuclear factor-κB (NF-κB) signaling pathway is one of the most well-studied pathways
related to inflammation, and its involvement in aging has attracted considerable attention. As …

Boolean descriptions of gene regulatory networks can provide an insight into interactions
between genes. Boolean networks hold predictive power, are easy to understand, and can …

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

The dynamics of cellular mechanisms can be investigated through the analysis of networks.
One of the simplest but most popular modeling strategies involves logic-based models …

Cell signaling pathways often crosstalk generating complex biological behaviors observed
in different cellular contexts. Frequently, laboratory experiments focus on a few putative …

A common approach to address biological questions in systems biology is to simulate
regulatory mechanisms using dynamic models. Among others, Boolean networks can be …

The aging process is a complex and multifaceted phenomenon affecting all living
organisms. It involves a gradual deterioration of tissue and cellular function, leading to a …

Complex cellular processes, such as phenotype decision making, are exceedingly difficult to
analyze experimentally, due to the multiple-layer regulation of gene expression and the …

A new class of nonlinear systems, block logical dynamical systems (BLDSs), is introduced in
this note. The existence and uniqueness of solution to BLDSs are firstly investigated. Then …