Evidence map›Paper›PMID 40938909›Full record

ArticlePloS one2025

Analytical approach of synchronous and asynchronous update schemes applied to solving biological Boolean networks.

Antonio Bensussen, J Arturo Arciniega-González, Elena R Álvarez-Buylla, Juan Carlos Martínez-García

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Antonio BensussenDepartamento de Control Automático, Cinvestav-IPN, Ciudad de México, Mexico.
J Arturo Arciniega-GonzálezPrograma Doctoral en Ciencias Biomédicas, Universidad Nacional Autónoma de México, Ciudad de México, Mexico.ORCID 0000-0003-2782-6016
Elena R Álvarez-BuyllaInstituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico.
Juan Carlos Martínez-GarcíaDepartamento de Control Automático, Cinvestav-IPN, Ciudad de México, Mexico.ORCID 0000-0003-2931-0531

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the minimum, necessary and sufficient components to generate the dynamics of a biological system has always been a priority to understand its functioning. In this sense, the canonical form of biological systems modeled by Boolean networks accurately defines the components in charge of controlling the dynamics of such systems. However, the calculation of the canonical form might be complicated in mathematical terms. In addition, computing the canonical form does not consider the dynamical properties found when using the synchronous and asynchronous update schemes to solve Boolean networks. Here, we analyze both update schemes and their connection with the canonical form of Boolean networks. We found that the synchronous scheme can be expressed by the Chapman-Kolmogorov equation, being a particular case of Markov chains. We also discovered that the canonical form of any Boolean network can be easily obtained by solving this matrix equation. Finally, we found that, the update order of the asynchronous scheme generates a set of functions that, when composed together, produce characteristic properties of this scheme, such as the conservation of fixed-point attractors or the variability in the basins of attraction. We concluded that the canonical form of Boolean networks can only be obtained for systems that use the synchronous update scheme, which opens up new possibilities for study.

Indexed as

Models, BiologicalAlgorithmsGene Regulatory NetworksMarkov Chains

Identifiers

PMID40938909
PMCPMC12431216

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.