Behaviours of complex biomolecular systems are often irreducible to the elementary
properties of their individual components. Explanatory and predictive mathematical models …

Mechanistic computational models enable the study of regulatory mechanisms implicated in
various biological processes. These models provide a means to analyze the dynamics of the …

Boolean networks (BNs) are discrete-time dynamical systems with Boolean state variables.
BNs have recently been attracting considerable interest as computational models for …

Many complex systems in biology, physics, and engineering include a large number of state
variables (SVs), and measuring the full state of the system is often impossible. Typically, a …

Given a conjunctive Boolean network (CBN) with n state-variables, we consider the problem
of finding a minimal set of state-variables to directly affect with an input so that the resulting …

Background Mathematical modeling of biological regulatory networks provides valuable
insights into the structural and dynamical properties of the underlying systems. While …

The non-receptor tyrosine kinase Src and receptor tyrosine kinase epidermal growth factor
receptor (EGFR/ErbB1) have been established as collaborators in cellular signaling and …

While the use of computer tools to simulate complex processes such as computer circuits is
normal practice in fields like engineering, the majority of life sciences/biological sciences …

As our ability to provide in-depth, patient-specific characterisation of the molecular
alterations within tumours rapidly improves, it is becoming apparent that new approaches …

The replication and life cycle of the influenza virus is governed by an intricate network of
intracellular regulatory events during infection, including interactions with an even more …