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TRuML: A Translator for Rule-Based Modeling Languages

Published: 20 August 2017 Publication History

Abstract

Rule-based modeling languages, such as the Kappa and BioNetGen languages (BNGL), are powerful frameworks for modeling the dynamics of complex biochemical reaction networks. Each language is distributed with a distinct software suite and modelers may wish to take advantage of both toolsets. This paper introduces a practical application called TRuML that translates models written in either Kappa or BNGL into the other language. While similar in many respects, key differences between the two languages makes translation sufficiently complex that automation becomes a useful tool. TRuML accommodates the languages' complexities and produces a semantically equivalent model in the alternate language of the input model when possible and an approximate model in certain other cases. Here, we discuss a number of these complexities and provide examples of equivalent models in both Kappa and BNGL.

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Cited By

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  • (2022)Comparison of rule- and ordinary differential equation-based dynamic model of DARPP-32 signalling networkPeerJ10.7717/peerj.1451610(e14516)Online publication date: 15-Dec-2022
  • (2019)PyBioNetFit and the Biological Property Specification LanguageiScience10.1016/j.isci.2019.08.04519(1012-1036)Online publication date: Sep-2019
  • (2018)Intrinsic limits of information transmission in biochemical signalling motifsInterface Focus10.1098/rsfs.2018.00398:6(20180039)Online publication date: 19-Oct-2018
  • Show More Cited By

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Published In

cover image ACM Conferences
ACM-BCB '17: Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics
August 2017
800 pages
ISBN:9781450347228
DOI:10.1145/3107411
© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 August 2017

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Author Tags

  1. bngl
  2. domain-specific languages
  3. kappa
  4. reaction network modeling
  5. rule-based modeling
  6. systems biology

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  • Short-paper

Funding Sources

  • Center for Nonlinear Studies at Los Alamos National Laboratory
  • National Institutes of Health

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BCB '17
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ACM-BCB '17 Paper Acceptance Rate 42 of 132 submissions, 32%;
Overall Acceptance Rate 254 of 885 submissions, 29%

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Cited By

View all
  • (2022)Comparison of rule- and ordinary differential equation-based dynamic model of DARPP-32 signalling networkPeerJ10.7717/peerj.1451610(e14516)Online publication date: 15-Dec-2022
  • (2019)PyBioNetFit and the Biological Property Specification LanguageiScience10.1016/j.isci.2019.08.04519(1012-1036)Online publication date: Sep-2019
  • (2018)Intrinsic limits of information transmission in biochemical signalling motifsInterface Focus10.1098/rsfs.2018.00398:6(20180039)Online publication date: 19-Oct-2018
  • (2018)Generalizing Gillespie’s Direct Method to Enable Network-Free SimulationsBulletin of Mathematical Biology10.1007/s11538-018-0418-2Online publication date: 28-Mar-2018
  • (undefined)PyBioNetFit and the Biological Property Specification LanguageSSRN Electronic Journal10.2139/ssrn.3382545

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