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

Graph theory has been a valuable mathematical modeling tool to gain insights into the
topological organization of biochemical networks. There are two types of insights that may …

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 …

The functional dynamics of signal transduction through protein interaction networks are
determined both by network topology and by the signal processing properties of component …

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

Recent advances in high-throughput methods have provided us with a first glimpse of the
overall structure of molecular interaction networks in biological systems. Ultimately, we …

Biochemical networks depict the chemical interactions that take place among elements of
living cells. They aim to elucidate how cellular behavior and functional properties of the cell …

Biochemical networks, including those containing signaling pathways, display a wide range
of regulatory properties. These include the ability to propagate information across different …

High-throughput experiments are shedding light on the topology of large regulatory
networks and at the same time their functional states, namely the states of activation of the …

Over the last 50 years there has been an explosion of biological data, leading to the
realization that to fully explain biological mechanisms it is necessary to interpret them as …