A central goal of systems biology is the construction of predictive models of bio-molecular
networks. Cellular networks of moderate size have been modeled successfully in a …

Understanding signal transduction in cellular systems is a central issue in systems biology.
Numerous experiments from different laboratories generate an abundance of individual …

The identification of large regulatory and signalling networks involved in the control of
crucial cellular processes calls for proper modelling approaches. Indeed, models can help …

Highly complex molecular networks, which play fundamental roles in almost all cellular
processes, are known to be dysregulated in a number of diseases, most notably in cancer …

Cellular components interact with each other to form networks that process information and
evoke biological responses. A deep understanding of the behavior of these networks …

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

Computational models are increasingly used to analyze the operation of complex
biochemical networks, including those involved in cell signaling networks. Here we review …

Biological systems are composed of a vast web of multiscale molecular interactors and
interactions. High-throughput technologies, both bulk and single cell, now allow for …

One of the most exciting developments in signal transduction research has been the
proliferation of studies in which a biological discovery was initiated by computational …

Genes and gene products interact on several levels, forming transcriptional regulatory-,
protein interaction-, metabolic-and signal transduction networks. Genetic, biochemical and …