… of signaling networks … cell signaling networks. Using heterotrimeric G protein pathways an
example, we demonstrate how interactions between two pathways can result in a network that …

… to cell signaling in eukaryotes, the focus of this review, complex multicomponent networks …
We focus on logic-based models of biochemical signaling networks and refer the reader to the …

… It is interesting to consider how cell-signaling networks have evolved, and we believe that
the comparative study of cell signaling networks between species is an important application …

… self-renewal of normal stem cells as well as proliferation or differentiation of progenitor (transit-amplifying)
cells. Breakage of the stem cell signaling network leads to carcinogenesis. …

… Living cells can enhance their fitness by anticipating environmental change. We study how
accurately linear signaling networks in cells can predict future signals. We find that maximal …

… formalisms for the description of cellular signaling networks that are of different complexity
(… graphs to cellular signaling networks such as the identification of signaling pathways and …

… the intra-cellular signalling networks triggered by extra-cellular stimuli (such as hormones
and growth factors). Such networks determine growth, differentiation, and other cell responses. …

… affect the dynamics of the signaling microdomains. The predictions generated … signaling
network topology, biochemical kinetics, and spatial anisotropy in the regulation of the cellular …

… One of the major difficulties in modeling cell signaling networks is the identification of the …
/feedforward connections commonly found in cell signaling pathways make the analysis difficult …

… the activity of cell signaling pathways is currently much more difficult. eXpression2Kinases
(X2K) computationally predicts involvement of upstream cell signaling pathways, given a …