Adapting stochastic simulation to suit biology and biological data to suit simulation
From Q-Bio Seminar Series
By Sotiria Lampoudi, UCSB
Oct 7, 2008
CNLS Conference room.
- 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.
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