TU Darmstadt / ULB / TUprints

Reliable dynamics in Boolean and continuous networks

Ackermann, Eva ; Peixoto, Tiago P. ; Drossel, Barbara (2023)
Reliable dynamics in Boolean and continuous networks.
In: New Journal of Physics, 2012, 14 (12)
doi: 10.26083/tuprints-00020566
Article, Secondary publication, Publisher's Version

[img] Text
Copyright Information: CC BY-NC-SA 3.0 Unported - Creative Commons, Attribution, NonCommercial, ShareAlike.

Download (777kB)
Item Type: Article
Type of entry: Secondary publication
Title: Reliable dynamics in Boolean and continuous networks
Language: English
Date: 5 December 2023
Place of Publication: Darmstadt
Year of primary publication: 18 December 2012
Place of primary publication: London
Publisher: IOP Publishing
Journal or Publication Title: New Journal of Physics
Volume of the journal: 14
Issue Number: 12
Collation: 17 Seiten
DOI: 10.26083/tuprints-00020566
Corresponding Links:
Origin: Secondary publication DeepGreen

We investigate the dynamical behavior of a model of robust gene regulatory networks which possess ‘entirely reliable’ trajectories. In a Boolean representation, these trajectories are characterized by being insensitive to the order in which the nodes are updated, i.e. they always go through the same sequence of states. The Boolean model for gene activity is compared with a continuous description in terms of differential equations for the concentrations of mRNA and proteins. We found that entirely reliable Boolean trajectories can be reproduced perfectly in the continuous model when realistic Hill coefficients are used. We investigate to what extent this high correspondence between Boolean and continuous trajectories depends on the extent of reliability of the Boolean trajectories, and we identify simple criteria that enable the faithful reproduction of the Boolean dynamics in the continuous description.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-205666
Classification DDC: 500 Science and mathematics > 530 Physics
Divisions: 05 Department of Physics > Institute for Condensed Matter Physics
Date Deposited: 05 Dec 2023 10:19
Last Modified: 07 Dec 2023 12:12
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20566
PPN: 513704183
Actions (login required)
View Item View Item