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Center for Nonlinear Studies |
Adapting stochastic simulation to suit biology and biological data to suit simulation Abstract: I will present work on relaxing the point molecule and well-stirred assumptions underlying the Stochastic Simulation Algorithm (Gillespie 1976), in order to adapt the SSA to match the biological setting in which it is most widely used. I will also briefly introduce our work on the deterministic simulation of the bacterial phosphorelay BvgAS, an unorthodox signal transduction system controlling virulence in Bordetella sp.
Refreshments served at 2pm.
Host: Ilya Nemenman, CCS-3