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  1. Home > Articles & Issues >
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  3. Reduction for asynch ...
Article

Reduction for asynchronous Boolean networks: elimination of negatively autoregulated components

Robert Schwieger ORCID, Elisa Tonello
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Open on arXiv
Submitted on
February 8, 2023
Accepted on
November 28, 2023
Published on
March 22, 2024
Last modified on
March 27, 2025
Volume 25
vol. 25:2
Automata, Logic and Semantics
DOI
10.46298/dmtcs.10930
License
Attribution 4.0 International (CC BY 4.0)
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959
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532
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Reduction for asynchronous Boolean networks: elimination of negatively autoregulated components

Robert Schwieger ORCID, Elisa Tonello
Abstract
To simplify the analysis of Boolean networks, a reduction in the number of components is often considered. A popular reduction method consists in eliminating components that are not autoregulated, using variable substitution. In this work, we show how this method can be extended, for asynchronous dynamics of Boolean networks, to the elimination of vertices that have a negative autoregulation, and study the effects on the dynamics and interaction structure. For elimination of non-autoregulated variables, the preservation of attractors is in general guaranteed only for fixed points. Here we give sufficient conditions for the preservation of complex attractors. The removal of so called mediator nodes (i.e. vertices with indegree and outdegree one) is often considered, and frequently does not affect the attractor landscape. We clarify that this is not always the case, and in some situations even subtle changes in the interaction structure can lead to a different asymptotic behaviour. Finally, we use properties of the more general elimination method introduced here to give an alternative proof for a bound on the number of attractors of asynchronous Boolean networks in terms of the cardinality of positive feedback vertex sets of the interaction graph. Comment: 16 pages
Keywords
  • Computer Science - Discrete Mathematics
Mathematics Subject Classification 2020
  • 05C20 - Directed graphs (digraphs), tournaments
  • 90B10 - Deterministic network models in operations research
Linked publications - datasets - software
  • References

    Quiñones-Valles, C., Sánchez-Osorio, I., & Martínez-Antonio, A. (2014). Dynamical Modeling of the Cell Cycle and Cell Fate Emergence in Caulobacter crescentus [Dataset]. figshare. 10.6084/M9.FIGSHARE.1282467.V1

  • References

    Quiñones-Valles, C., Sánchez-Osorio, I., & Martínez-Antonio, A. (2014). Dynamical Modeling of the Cell Cycle and Cell Fate Emergence in Caulobacter crescentus [Dataset]. figshare. 10.6084/M9.FIGSHARE.1282467.V2

  • References

    Quiñones-Valles, C., Sánchez-Osorio, I., & Martínez-Antonio, A. (2014). Dynamical Modeling of the Cell Cycle and Cell Fate Emergence in Caulobacter crescentus [Dataset]. figshare. 10.6084/M9.FIGSHARE.1282467.V3

  • References
    50|doi_dedup___::63744138a718a759599361bb936f2a5d
Cited by

Source: OpenCitations

  • On Model Reductions of Boolean Networks

    Authors : Claudine Chaouiya ORCID, Jérôme Feret ORCID, Patrícia Tenera Roxo

    Journal reference : Volume , 2025, pp. 42-60

    DOI : 10.1007/978-3-032-01436-8_3
  • Phenotype control and elimination of variables in Boolean networks

    Peer Community Journal

    Authors : Elisa Tonello ORCID, Loïc Paulevé ORCID

    Journal reference : Volume 4, 2024, pp.

    DOI : 10.24072/pcjournal.452
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