Boolean Dynamics of Compound Regulatory circuits
Elisabeth Remy (),
Brigitte Mossé () and
Denis Thieffry ()
Additional contact information
Elisabeth Remy: Centrale Marseille, Aix Marseille Université, CNRS
Brigitte Mossé: Centrale Marseille, Aix Marseille Université, CNRS
Denis Thieffry: Institut de Biologie de l’Ecole Normale Supérieure (IBENS), CNRS UMR8197, INSERM U1024, Ecole Normale Supérieure, PSL Research University, Computational Systems Biology team
A chapter in Dynamics of Mathematical Models in Biology, 2016, pp 43-53 from Springer
Abstract:
Abstract In biological regulatory networks represented in terms of signed, directed graphs, topological motifs such as circuits are known to play key dynamical roles. After reviewing established results on the roles of simple motifs, we present novel results on the dynamical impact of the addition of a short-cut in a regulatory circuit. More precisely, based on a Boolean formalisation of regulatory graphs, we provide complete descriptions of the discrete dynamics of particular motifs, under the synchronous and asynchronous updating schemes. These motifs are made of a circuit of arbitrary length, combining positive and negative interactions in any sequence, and are including a short-cut, and hence a smaller embedded circuit.
Keywords: Regulatory motifs; Boolean dynamics (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-45723-9_4
Ordering information: This item can be ordered from
http://www.springer.com/9783319457239
DOI: 10.1007/978-3-319-45723-9_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().