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Computational models for circadian rhythms : Deterministic versus stochastic approaches

par Leloup, Jean-Christophe ;Gonze, Didier ;Goldbeter, Albert
Editeur scientifique Eils, Roland;Kriete, Andres
Référence Computational Systems Biology, Elsevier, Amsterdam, Ed. 2, page (183-222)
Publication Publié, 2013

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Résumé :

Circadian rhythms originate from intertwined feedback processes in genetic regulatory networks. Computational models of increasing complexity have been proposed for the molecular mechanism of these rhythms, which occur spontaneously with a period on the order of 24. h. We show that deterministic models for circadian rhythms in Drosophila account for a variety of dynamical properties, such as phase shifting or long-term suppression by light pulses and entrainment by light/dark cycles. Stochastic versions of these models allow us to examine how molecular noise affects the emergence and robustness of circadian oscillations. Finally, we present a deterministic model for the mammalian circadian clock and use it to address the dynamical bases of physiological disorders of the sleep/wake cycle in humans © 2014 Elsevier Inc. All rights reserved.