Genetic networks with canalyzing Boolean rules are always stable

dc.creatorKauffman, Stuart
dc.creatorPeterson, Carsten
dc.creatorSamuelsson, Björn
dc.creatorTroein, Carl
dc.date2004-12-02
dc.date.accessioned2026-07-07T05:58:47Z
dc.date.available2026-07-07T05:58:47Z
dc.descriptionWe determine stability and attractor properties of random Boolean genetic network models with canalyzing rules for a variety of architectures. For all power law, exponential, and flat in-degree distributions, we find that the networks are dynamically stable. Furthermore, for architectures with few inputs per node, the dynamics of the networks is close to critical. In addition, the fraction of genes that are active decreases with the number of inputs per node. These results are based upon investigating ensembles of networks using analytical methods. Also, for different in-degree distributions, the numbers of fixed points and cycles are calculated, with results intuitively consistent with stability analysis; fewer inputs per node implies more cycles, and vice versa. There are hints that genetic networks acquire broader degree distributions with evolution, and hence our results indicate that for single cells, the dynamics should become more stable with evolution. However, such an effect is very likely compensated for by multicellular dynamics, because one expects less stability when interactions among cells are included. We verify this by simulations of a simple model for interactions among cells.
dc.descriptionFinal version available through PNAS open access at http://www.pnas.org/cgi/content/abstract/0407783101v1
dc.identifierhttps://arxiv.org/abs/q-bio/0412005
dc.identifierhttp://arxiv.org/abs/q-bio/0412005
dc.identifierProc. Natl. Acad. Sci. USA 101 (2004), 17102-17107
dc.identifierdoi:10.1073/pnas.0407783101
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/88490
dc.subjectMolecular Networks
dc.subjectSoft Condensed Matter
dc.titleGenetic networks with canalyzing Boolean rules are always stable
dc.typetext

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