A control theoretic paradigm for cell signaling networks: a simple complexity for a sensitive robustness.
The fields of molecular biology and cell biology are being flooded with complex genomic and proteomic datasets of large dimensions. We now recognize that each molecule in the cell and tissue can no longer be viewed as an isolated entity. Instead, each molecule must be considered as one member of an interacting network. Consequently, there is an urgent need for mathematical models to understand the behavior of cell signaling networks in health and in disease.
Araujo
Robyn P
RP
Center for Applied Proteomics and Molecular Medicine, George Mason University, 10900 University Boulevard, MS 4E3, Manassas, Virginia 20110, USA. raraujo@gmu.edu
Liotta
Lance A
LA
D002468:Cell Physiological Phenomena; D019992:Databases as Topic; D006801:Humans; D008954:Models, Biological; D015398:Signal Transduction