Membrane Computing: An Introduction
Membrane Computing: An Introduction
A New Class of Symbolic Abstract Neural Nets: Tissue P Systems
COCOON '02 Proceedings of the 8th Annual International Conference on Computing and Combinatorics
Stochastic reaction-diffusion simulation with MesoRD
Bioinformatics
Tau leaping stochastic simulation method in p systems
WMC'06 Proceedings of the 7th international conference on Membrane Computing
P systems, a new computational modelling tool for systems biology
Transactions on Computational Systems Biology VI
A novel variant of p systems for the modelling and simulation of biochemical systems
WMC'09 Proceedings of the 10th international conference on Membrane Computing
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In biological processes, intrinsic noise, spatial heterogeneity and molecular crowding deeply affect the system dynamics. The classic stochastic methods lack of the necessary features needed for the description of these phenomena. Membrane systems are a suitable framework to embed these characteristics; in particular, the variants of τ-DPP and Sτ -DPP allow the modelling and stochastic simulations of multivolume biochemical systems, in which diffusion and size of volumes and chemicals are taken into account improving the description of these biological systems. In this paper we show, by means of two models of reactiondiffusion and crowded systems, the correctness and accuracy of our simulation methods.