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

Saved in:
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]
Copyright of Fundamenta Informaticae is the property of Polskie Towarzystwo Matematyczne and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 94006993
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Petri Net-Based Collaborative Simulation and Steering of Biochemical Reaction Networks.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Herajy%2C+Mostafa%22">Herajy, Mostafa</searchLink><relatesTo>1</relatesTo><i> mherajy@sci.psu.edu.eg</i><br /><searchLink fieldCode="AR" term="%22Heiner%2C+Monika%22">Heiner, Monika</searchLink><relatesTo>2</relatesTo><i> monika.heiner@informatik.tu-cottbus.de</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Fundamenta+Informaticae%22">Fundamenta Informaticae</searchLink>. 2014, Vol. 129 Issue 1-2, p49-67. 19p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Computational+steering+%28Computer+science%29%22">Computational steering (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Petri+nets%22">Petri nets</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+control%22">Remote control</searchLink><br /><searchLink fieldCode="DE" term="%22Parameters+%28Statistics%29%22">Parameters (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+analysis%22">Stochastic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Fundamenta Informaticae is the property of Polskie Towarzystwo Matematyczne and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=94006993
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3233/FI-2014-960
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 49
    Subjects:
      – SubjectFull: Computational steering (Computer science)
        Type: general
      – SubjectFull: Petri nets
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Remote control
        Type: general
      – SubjectFull: Parameters (Statistics)
        Type: general
      – SubjectFull: Stochastic analysis
        Type: general
      – SubjectFull: Mathematical models
        Type: general
    Titles:
      – TitleFull: Petri Net-Based Collaborative Simulation and Steering of Biochemical Reaction Networks.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Herajy, Mostafa
      – PersonEntity:
          Name:
            NameFull: Heiner, Monika
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2014
              Type: published
              Y: 2014
          Identifiers:
            – Type: issn-print
              Value: 01692968
          Numbering:
            – Type: volume
              Value: 129
            – Type: issue
              Value: 1-2
          Titles:
            – TitleFull: Fundamenta Informaticae
              Type: main
ResultId 1