Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-18123-8_23 | Int. Conf. on Membrane Computing |
Keywords | Field | DocType |
intrinsic noise,biological process,molecular crowding,spatial heterogeneity,multivolume biochemical system,macromolecular crowding,necessary feature,biological system,crowded system,stochastic simulation,classic stochastic method,membrane system,biological systems,system dynamics,reaction diffusion | Cellular automaton,Biological system,Simulation,Crowding,Computer science,Correctness,Spatial heterogeneity,System dynamics,Macromolecular crowding,Distributed computing | Conference |
Volume | ISSN | ISBN |
6501 | 0302-9743 | 3-642-18122-8 |
Citations | PageRank | References |
6 | 0.68 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ettore Mosca | 1 | 119 | 11.01 |
| Paolo Cazzaniga | 2 | 235 | 27.16 |
| Dario Pescini | 3 | 274 | 25.92 |
| Giancarlo Mauri | 4 | 2106 | 297.38 |
| Luciano Milanesi | 5 | 823 | 87.40 |