Article ID Journal Published Year Pages File Type
2076663 Biosystems 2008 15 Pages PDF
Abstract

We introduce a sequential rewriting strategy for P systems based on Gillespie’s stochastic simulation algorithm, and show that the resulting formalism of stochastic P systems makes it possible to simulate biochemical processes in dynamically changing, nested compartments. Stochastic P systems have been implemented using the spatially explicit programming language MGS. Implementation examples include models of the Lotka–Volterra auto-catalytic system, and the life cycle of the Semliki Forest virus.

Related Topics
Physical Sciences and Engineering Mathematics Modelling and Simulation
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