Background Models of biochemical systems are typically complex, which may complicate
the discovery of cardinal biochemical principles. It is therefore important to single out the …

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 …

Abstract Background Systems Biology continues to produce increasingly large models of
complex biochemical reaction networks. In applications requiring, for example, parameter …

Biochemical systems involving a high number of components with intricate interactions often
lead to complex models containing a large number of parameters. Although a large model …

Modelling of biochemical systems usually focuses on certain pathways, while the
concentrations of so‐called external metabolites are considered fixed. This approximation …

Motivation Detailed mechanistic models of biological processes can pose significant
challenges for analysis and parameter estimations due to the large number of equations …

Background Cellular processes such as metabolism, decision making in development and
differentiation, signalling, etc., can be modeled as large networks of biochemical reactions …

Motivation: The current trend in dynamical modelling of biochemical systems is to construct
more and more mechanistically detailed and thus complex models. The complexity is …

Background Mathematical models provide abstract representations of the information
gained from experimental observations on the structure and function of a particular …

Many complex kinetic models in the field of biochemical reactions contain a large number of
species and reactions. These models often require a huge array of computational tools to …