cAMP Signaling pp 203-217 | Cite as

Development of Computational Models of cAMP Signaling

  • Susana R. Neves-ZaphEmail author
  • Roy S. Song
Part of the Methods in Molecular Biology book series (MIMB, volume 1294)


Despite the growing evidence defining the cAMP signaling network as a master regulator of cellular function in a number of tissues, regulatory feedback loops, signal compartmentalization, as well as cross-talk with other signaling pathways make understanding the emergent properties of cAMP cellular action a daunting task. Dynamical models of signaling that combine quantitative rigor with molecular details can contribute valuable mechanistic insight into the complexity of intracellular cAMP signaling by complementing and guiding experimental efforts. In this chapter, we review the development of cAMP computational models. We describe how features of the cAMP network can be represented and review the types of experimental data useful in modeling cAMP signaling. We also compile a list of published cAMP models that can aid in the development of novel dynamical models of cAMP signaling.


Computational modeling Systems biology cAMP Protein kinase A Phosphodiesterases Adenylyl cyclase 


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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of PharmacologyIcahn School of Medicine at Mount SinaiNew YorkUSA
  2. 2.Department of Systems TherapeuticsIcahn School of Medicine at Mount SinaiNew YorkUSA
  3. 3.Friedman Brain InstituteIcahn School of Medicine at Mount SinaiNew YorkUSA
  4. 4.System Biology Center New YorkIcahn School of Medicine at Mount SinaiNew YorkUSA

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