Abstract Systems biology is a new discipline built upon the premise that an understanding of
how cells and organisms carry out their functions cannot be gained by looking at cellular …

Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the
architecture of the transcriptional regulatory circuitry responsible for cell determination …

Physicochemical models of signaling pathways are characterized by high levels of structural
and parametric uncertainty, reflecting both incomplete knowledge about signal transduction …

There is a growing use of bioinformatics based methods in the field of Glycobiology. These
have been used largely to curate glycan structures, organize array-based experimental data …

Here we introduce a new design framework for synthetic biology that exploits the
advantages of Bayesian model selection. We will argue that the difference between …

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 …

The engineering of transcriptional networks presents many challenges due to the inherent
uncertainty in the system structure, changing cellular context, and stochasticity in the …

There have been a growing number of observations of oscillating protein levels (p53 and
NFkB) in eukaryotic signalling pathways. This has resulted in a renewed interest in the …

Understanding the large reaction networks found in biological systems is a daunting task.
One approach is to divide a network into more manageable smaller modules, thus …

Motivation: Large biochemical networks pose a unique challenge from the point of view of
evaluating conservation laws. The computational problem in most cases exceeds the …