… exhibited by, a network of interest. Next, we … model signaling network behavior. Finally,
we focus on three specific instances of ‘model-driven discovery’: cases in which computational …

… of computational models of biochemical networks and describe the insights gained from …
current approaches to modeling signaling pathways and networks. Signaling modules and …

… The complexity of these networks requires the use of computational models to … computational
approaches used to study signaling networks are graph theory and dynamical modeling…

… Here, we review the contributions computational modeling approaches have … signaling
networks and forecast opportunities for computational models to accelerate cardiac signaling …

… of a mathematical model for signaling networks, with focus on G … constructing a mathematical
model of signaling network. Next, … , which include modeling spatially restricted biochemical …

… The use of computational models, especially kinetic models (… demonstrated through modeling
specific network motifs which … Models of this type are often based on established miR–TF–…

… of our model. We argue that computational modeling and statistical model checking can be
… the emergent behavior of complex signaling pathways. In particular, the use of statistical …

… The task of developing and simulating computational models of signaling networks for …
This means that the computational model must have a spatially resolved representation of …

… a new computational modeling approach by … signaling model, using the NF-κB signaling
pathway with the corresponding gene responses as the case study. In this work, the NCA model …

… To illustrate the challenges associated with transitioning from a nonspatial to a spatial
representation of a signaling network, we consider a simple model of receptor-mediated cellular …