Petri Net-Based Collaborative Simulation and Steering of Biochemical Reaction Networks.

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Bibliographic Details
Title:	Petri Net-Based Collaborative Simulation and Steering of Biochemical Reaction Networks.
Authors:	Herajy, Mostafa¹ mherajy@sci.psu.edu.eg, Heiner, Monika² monika.heiner@informatik.tu-cottbus.de
Source:	Fundamenta Informaticae. 2014, Vol. 129 Issue 1-2, p49-67. 19p.
Subjects:	Computational steering (Computer science), Petri nets, Computer simulation, Remote control, Parameters (Statistics), Stochastic analysis, Mathematical models
Abstract:	Computational steering is an interactive remote control of a long running application. The user can adopt it, e.g., to adjust simulation parameters on the fly. Simulation of large-scale biochemical networks is often computationally expensive, particularly stochastic and hybrid simulation. Such extremely time-consuming computations necessitate an interactive mechanism to permit users to try different paths and ask 'what-if-questions' while the simulation is in progress. Furthermore, with the progress of computational modelling and the simulation of biochemical networks, there is a need to manage multi-scale models, which may contain species or reactions at different scales. In this context, Petri nets are of special importance, since they provide an intuitive visual representation of reaction networks. In this paper, we introduce a framework and its implementation for combining Petri nets and computational steering for the representation and interactive simulation of biochemical networks. The main merits of the developed framework are: intuitive representation of biochemical networks by means of Petri nets, distributed collaborative and interactive simulation, and tight coupling of simulation and visualisation. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Computational steering is an interactive remote control of a long running application. The user can adopt it, e.g., to adjust simulation parameters on the fly. Simulation of large-scale biochemical networks is often computationally expensive, particularly stochastic and hybrid simulation. Such extremely time-consuming computations necessitate an interactive mechanism to permit users to try different paths and ask 'what-if-questions' while the simulation is in progress. Furthermore, with the progress of computational modelling and the simulation of biochemical networks, there is a need to manage multi-scale models, which may contain species or reactions at different scales. In this context, Petri nets are of special importance, since they provide an intuitive visual representation of reaction networks. In this paper, we introduce a framework and its implementation for combining Petri nets and computational steering for the representation and interactive simulation of biochemical networks. The main merits of the developed framework are: intuitive representation of biochemical networks by means of Petri nets, distributed collaborative and interactive simulation, and tight coupling of simulation and visualisation. [ABSTRACT FROM AUTHOR]
ISSN:	01692968
DOI:	10.3233/FI-2014-960