During the last decade, models have been developed to characterize cellular metabolism at
the level of an entire metabolic network. The main concept that underlies whole‐network …

Which reaction networks, when taken with mass-action kinetics, have the capacity for
multiple steady states? There is no complete answer to this question, but over the last 40 …

The statistical mechanical approach to complex networks is the dominant paradigm in
describing natural and societal complex systems. The study of network properties, and their …

Mathematical modelling has become an established tool for studying the dynamics of
biological systems. Current applications range from building models that reproduce …

Background Bistability underlies basic biological phenomena, such as cell division,
differentiation, cancer onset, and apoptosis. So far biologists identified two necessary …

In this paper, an H∞ estimation approach is given for an array of coupled stochastic
complex networks with intermittent nonlinearity switching. A set of binary random variables …

Chemical reaction systems are dynamical systems that arise in chemical engineering and
systems biology. In this work, we consider the question of whether the minimal (in a precise …

Mathematical models are increasingly being used to understand complex biochemical
systems, to analyse experimental data and make predictions about unobserved quantities …

Background The inference of biological networks from high-throughput data has received
huge attention during the last decade and can be considered an important problem class in …

Engineering industrial microbes has been hampered by incomplete knowledge of cell
biology. Thus an iterative engineering cycle of modeling, implementation, and analysis has …