… Comprehensive and predictive models of biological … modeling techniques and high-throughput
data generation [1]. One of the major difficulties in modeling cell signaling networks is the …

… to modeling and simulation of biological systems, specifically cell signaling networks, can …
/mTOR cancer-related signaling pathway. Subsequently, once the behavior of the simulated …

… dynamic modeling, particularly focusing on Boolean dynamic models. … of cellular signaling
networks. Several variants of Boolean dynamic models including threshold Boolean networks …

… models can be implemented.Even a simple model of the EGF receptor signalling network …
can handle such models without sampling down the number of potential generated species. …

… In this paper we show that the mass action kinetics of cell signaling networks can be designed
and trained to carry out logical calculations. Elements of training algorithms developed in …

… level models of signaling networks. Results: The Database of Quantitative Cellular Signaling
is a repository of models of signaling … reaction level simulation of signaling networks, and to …

… for cell signaling networks (CSNDB)[4,5]. The eventual goal of this project is to catalog all the
cell signaling networks in … models for biological phenomena. The system will be useful for …

… modeling was developed to address the limitations of traditional approaches for modeling
chemical kinetics in cell signaling … As a result, only large reaction networks capture all possible …

… to post-genomic biology, and mechanistic systems models will be crucial for this task. Here,
… models of established cell signaling networks. The ability of mechanistic system models to …

… 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 …