dc.contributor.author
Naldi, Aurélien
dc.contributor.author
Richard, Adrien
dc.contributor.author
Tonello, Elisa
dc.date.accessioned
2023-10-09T07:58:11Z
dc.date.available
2023-10-09T07:58:11Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/39978
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-39700
dc.description.abstract
Boolean networks are popular tools for the exploration of qualitative dynamical properties of biological systems. Several dynamical interpretations have been proposed based on the same logical structure that captures the interactions between Boolean components. They reproduce, in different degrees, the behaviours emerging in more quantitative models. In particular, regulatory conflicts can prevent the standard asynchronous dynamics from reproducing some trajectories that might be expected upon inspection of more detailed models. We introduce and study the class of networks with linear cuts, where linear components—intermediates with a single regulator and a single target—eliminate the aforementioned regulatory conflicts. The interaction graph of a Boolean network admits a linear cut when a linear component occurs in each cycle and in each path from components with multiple targets to components with multiple regulators. Under this structural condition the attractors are in one-to-one correspondence with the minimal trap spaces, and the reachability of attractors can also be easily characterized. Linear cuts provide the base for a new interpretation of the Boolean semantics that captures all behaviours of multi-valued refinements with regulatory thresholds that are uniquely defined for each interaction, and contribute a new approach for the investigation of behaviour of logical models.
en
dc.format.extent
21 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Boolean networks
en
dc.subject
Updating semantics
en
dc.subject
Reachability
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::510 Mathematik::510 Mathematik
dc.title
Linear cuts in Boolean networks
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1007/s11047-023-09945-2
dcterms.bibliographicCitation.journaltitle
Natural Computing
dcterms.bibliographicCitation.number
3
dcterms.bibliographicCitation.pagestart
431
dcterms.bibliographicCitation.pageend
451
dcterms.bibliographicCitation.volume
22
dcterms.bibliographicCitation.url
https://doi.org/10.1007/s11047-023-09945-2
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Mathematik

refubium.funding
Springer Nature DEAL
refubium.note.author
Die Publikation wurde aus Open Access Publikationsgeldern der Freien Universität Berlin gefördert.
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1572-9796