Complex models of biochemical reaction systems have become increasingly common in the
systems biology literature. The complexity of such models can present a number of …

This article is a critical review of computational techniques used to model, analyse and
simulate signalling networks. We propose a conceptual framework, and discuss the role of …

We present a Systems Biology Toolbox for the widely used general purpose mathematical
software MATLAB. The toolbox offers systems biologists an open and extensible …

The complexity of full‐scale metabolic models is a major obstacle for their effective use in
computational systems biology. The aim of model reduction is to circumvent this problem by …

The present study extended the Anaerobic Digestion Model No. 1 (ADM1) to simulate co-
digestion of silages with pig manure and thin stillage, pig manure and glycerine phase, or …

Parameter perturbations in dynamical models of biochemical networks affect the qualitative
dynamical behaviour observed in the model. Since this qualitative behaviour is in many …

Control theory, a well-established discipline in engineering and mathematics, has found
novel applications in systems biology. This interdisciplinary approach leverages the …

Observed phenotypes usually arise from complex networks of interacting cell components.
Qualitative information about the structure of these networks is often available, while …

Plants are exposed to a temporally and spatially heterogeneous environment, and
photosynthesis is well adapted to these fluctuations. Understanding of the complex, non …

A defining characteristic of living cells is the ability to respond dynamically to external stimuli
while maintaining homeostasis under resting conditions. Capturing both of these features in …