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Summer Course on Computational Modeling of Cellular Signaling Pathways With Simmune

July 26 – 27, 2014
National Institutes of Health Campus
Bethesda, Maryland

The course is for experimental and computational biologists who want to learn how to develop and use quantitative computational models of cellular signaling processes. Prior modeling experience is not required due to the unique visual interface of Simmune. Participants should, however, have an active interest in quantitative aspects of cell biological phenomena.

The course will provide hands-on guidance using examples such as G-protein-coupled receptor signaling, growth factor signaling networks, chemokine sensing, and cellular adhesion.


  • Model construction
  • Network structure analysis
  • Spatially resolved modeling of cellular signaling processes
  • Using proteomic and other experimental data to inform model choices
  • Techniques for addressing parameter and data uncertainty
  • Parameter fitting

Further Reading

Angermann BR, Klauschen F, Garcia AD, Prustel T, Zhang F, Germain RN, Meier-Schellersheim M. Computational modeling of cellular signaling processes embedded into dynamic spatial contexts. Nat Methods. 2012 Jan 29;9(3):283-9.

Zhang F, Angermann BR, Meier-Schellersheim M. The Simmune Modeler visual interface for creating signaling networks based on bi-molecular interactions. Bioinformatics. 2013 May 1;29(9):1229-30.

A limited number of scholarships for travel and lodging are available.

Last Updated March 28, 2014