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
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Item Type: | Article |
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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 |
Abstract: | 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 |
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