.png){kind=icon}
.png){kind=icon}
Return
Modelling and simulating reaction-diffusion systems using coloured Petri nets
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compbiomed.2014.07.004.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Reaction-diffusion systems often play an important role in systems biology when developmental processes are involved. Traditional methods of modelling and simulating such systems require substantial prior knowledge of mathematics and/or simulation algorithms. Such skills may impose a challenge for biologists, when they are not equally well-trained in mathematics and computer science. Coloured Petri nets as a high-level and graphical language offer an attractive alternative, which is easily approachable. In this paper, we investigate a coloured Petri net framework integrating deterministic, stochastic and hybrid modelling formalisms and corresponding simulation algorithms for the modelling and simulation of reaction-diffusion processes that may be closely coupled with signalling pathways, metabolic reactions and/or gene expression. Such systems often manifest multiscaleness in time, space and/or concentration. We introduce our approach by means of some basic diffusion scenarios, and test it against an established case study, the Brusselator model. (C) 2014 Elsevier Ltd. All rights reserved.
Keywords:
Reaction-diffusion systems
Petri net framework
Coloured stochastic/continous/hybrid
Petri nets
Multiscaleness
Brusselator
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.3
Papers:
8.3K
Citations:
3.3W
Organization
View more organizations