Literature DB >> 18786388

Modelling biological rhythms.

Till Roenneberg1, Elaine Jane Chua, Ric Bernardo, Eduardo Mendoza.   

Abstract

With our growing awareness of the complexity underlying biological phenomena, our need for computational models becomes increasingly apparent. Due to their properties, biological clocks have always lent themselves to computational modelling. Their capacity to oscillate without dampening--even when deprived of all rhythmic environmental information--required the hypothesis of an endogenous oscillator. The notion of a 'clock' provided a conceptual model of this system well before the dynamics of circadian oscillators were probed by computational modelling. With growing insight into the molecular basis of circadian rhythmicity, computational models became more concrete and quantitative. Here, we review the history of modelling circadian oscillators and establish a taxonomy of the modelling world to put the large body of circadian modelling literature into context. Finally, we assess the predictive power of circadian modelling and its success in creating new hypotheses.

Mesh:

Year:  2008        PMID: 18786388     DOI: 10.1016/j.cub.2008.07.017

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  16 in total

Review 1.  Night Shift Work and Risk of Breast Cancer.

Authors:  Johnni Hansen
Journal:  Curr Environ Health Rep       Date:  2017-09

Review 2.  Measurement of single-cell dynamics.

Authors:  David G Spiller; Christopher D Wood; David A Rand; Michael R H White
Journal:  Nature       Date:  2010-06-10       Impact factor: 49.962

Review 3.  Mathematical modeling of circadian rhythms.

Authors:  Ameneh Asgari-Targhi; Elizabeth B Klerman
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2018-10-17

Review 4.  Multiscale complexity in the mammalian circadian clock.

Authors:  Yr Yamada; Db Forger
Journal:  Curr Opin Genet Dev       Date:  2010-12       Impact factor: 5.578

Review 5.  Circadian control of global gene expression patterns.

Authors:  Colleen J Doherty; Steve A Kay
Journal:  Annu Rev Genet       Date:  2010       Impact factor: 16.830

6.  Positive autoregulation delays the expression phase of mammalian clock gene Per2.

Authors:  Yukino Ogawa; Nobuya Koike; Gen Kurosawa; Tomoyoshi Soga; Masaru Tomita; Hajime Tei
Journal:  PLoS One       Date:  2011-04-14       Impact factor: 3.240

7.  Inhibition of casein kinase I epsilon/delta produces phase shifts in the circadian rhythms of Cynomolgus monkeys.

Authors:  Jeffrey Sprouse; Linda Reynolds; Terri A Swanson; Michael Engwall
Journal:  Psychopharmacology (Berl)       Date:  2009-03-11       Impact factor: 4.530

Review 8.  Protein sequestration versus Hill-type repression in circadian clock models.

Authors:  Jae Kyoung Kim
Journal:  IET Syst Biol       Date:  2016-08       Impact factor: 1.615

9.  Inference on periodicity of circadian time series.

Authors:  Maria J Costa; Bärbel Finkenstädt; Véronique Roche; Francis Lévi; Peter D Gould; Julia Foreman; Karen Halliday; Anthony Hall; David A Rand
Journal:  Biostatistics       Date:  2013-06-06       Impact factor: 5.899

Review 10.  Mathematical modeling of mammalian circadian clocks affecting drug and disease responses.

Authors:  Panteleimon D Mavroudis; William J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-03-16       Impact factor: 2.410

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