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 …

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 …

Biochemical reaction networks tend to exhibit behaviour on more than one timescale and
they are inevitably modelled by stiff systems of ordinary differential equations. Singular …

Biochemical networks are used in computational biology, to model mechanistic details of
systems involved in cell signaling, metabolism, and regulation of gene expression …

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

Background In this paper we propose a model reduction method for biochemical reaction
networks governed by a variety of reversible and irreversible enzyme kinetic rate laws …

Many biochemical network models include quantities that are conserved in molarity. While
important theoretical results rely on such conservation relations, they often pose a problem …

We propose a new approach to the model reduction of biochemical reaction networks
governed by various types of enzyme kinetics rate laws with non-autocatalytic reactions …

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

This paper reviews some mathematical models of biochemical reaction networks. The
models contain a large number species and reactions. This is a difficult task and it requires …