Molecular mechanisms of health and disease are often represented as systems biology
diagrams, and the coverage of such representation constantly increases. These static …

Boolean networks (BNs) are a well-accepted modelling formalism in computational systems
biology. Nevertheless, modellers often cannot identify only a single BN that matches the …

Network controllability is a major challenge in network medicine. The problem is to rewire
the molecular network for reprogramming the cell fate. The reprogramming action is …

We study the target control problem of asynchronous Boolean networks, to identify a set of
nodes, the perturbation of which can drive the dynamics of the network from any initial state …

Control theory has seen recently impactful applications in network science, especially in
connections with applications in network medicine. A key topic of research is that of finding …

Boolean network (BN) is a simple model widely used to study complex dynamic behaviour of
biological systems. Nonetheless, it might be difficult to gather enough data to precisely …

We study the target control of asynchronous Boolean networks, to identify interventions that
can drive the dynamics of a given Boolean network from any initial state to the desired target …

Regulatory networks (RNs) are a well-accepted modelling formalism in computational
systems biology. The control of RNs is currently receiving a lot of attention because it …

We designed three new controllers: a sigmoid-based controller, a polynomial dynamic
inversion-based controller, and a proportional–integral–derivative (PID) impulsive controller …

We present a new version of the software, Cabean, integrating six source-target control
methods and three target control methods for the reprogramming of asynchronous Boolean …