Boolean modelling in plant biology.

Boolean networks computer modelling plant networks stomatal closure

Journal

Quantitative plant biology
ISSN: 2632-8828
Titre abrégé: Quant Plant Biol
Pays: England
ID NLM: 9918452086906676

Informations de publication

Date de publication:
2022
Historique:
received: 17 06 2022
revised: 24 10 2022
accepted: 16 11 2022
medline: 20 4 2023
pubmed: 20 4 2023
entrez: 20 04 2023
Statut: epublish

Résumé

Signalling and genetic networks underlie most biological processes and are often complex, containing many highly connected components. Modelling these networks can provide insight into mechanisms but is challenging given that rate parameters are often not well defined. Boolean modelling, in which components can only take on a binary value with connections encoded by logic equations, is able to circumvent some of these challenges, and has emerged as a viable tool to probe these complex networks. In this review, we will give an overview of Boolean modelling, with a specific emphasis on its use in plant biology. We review how Boolean modelling can be used to describe biological networks and then discuss examples of its applications in plant genetics and plant signalling.

Identifiants

pubmed: 37077966
doi: 10.1017/qpb.2022.26
pii: S2632882822000261
pmc: PMC10095905
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

e29

Informations de copyright

© The Author(s) 2022.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Aravind Karanam (A)

Department of Physics, University of California, San Diego, La Jolla, California 92093, USA.

Wouter-Jan Rappel (WJ)

Department of Physics, University of California, San Diego, La Jolla, California 92093, USA.

Classifications MeSH