Signal transduction networks have only been studied at a small scale because large-scale
reconstructions and suitable in silico analysis methods have not been available. Since …

Conventionally, biological signal transduction networks are analysed using experimental
and theoretical methods to describe specific protein components, interactions, and …

A major current challenge in systems biology is to clarify the relationship between structure,
function, and regulation in complex networks that can be reconstructed from genomic or …

Background Structural analysis of cellular interaction networks contributes to a deeper
understanding of network-wide interdependencies, causal relationships, and basic …

The dynamic behavior of metabolic networks is governed by numerous regulatory
mechanisms, such as reversible phosphorylation, binding of allosteric effectors or temporal …

The study of cellular signalling over the past 20 years and the advent of high-throughput
technologies are enabling the reconstruction of large-scale signalling networks. After careful …

Metabolic, regulatory and signaling pathways have been characterized in detail over the
past century. As the amount of genomic, proteomic and metabolic data has increased, and …

Motivation: The modularity of biochemical networks in general, and signaling networks in
particular, has been extensively studied over the past few years. It has been proposed to be …

Complex dynamical systems are often characterized by a large number of nonlinearly
interacting elements, giving rise to emergent properties that transcend the principle of linear …

Biological networks are currently being studied with approaches derived from the
mathematical and physical sciences. Their structural analysis enables to highlight nodes …