Literature DB >> 26254917

Role of Computational Modeling in Understanding Cell Cycle Oscillators.

Attila Csikász-Nagy1, Ivan Mura.   

Abstract

The periodic oscillations in the activity of the cell cycle regulatory program, drives the timely activation of key cell cycle events. Interesting dynamical systems, such as oscillators, have been investigated by various theoretical and computational modeling methods. Thanks to the insights achieved by these modeling efforts we have gained considerable insights about the underlying molecular regulatory networks that can drive cell cycle oscillations. Here we review the basic features and characteristics of biological oscillators, discussing from a computational modeling point of view their specific architectures and the current knowledge about the dynamics that the life evolution selected to drive cell cycle oscillations.

Mesh:

Year:  2016        PMID: 26254917     DOI: 10.1007/978-1-4939-2957-3_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Understanding non-linear effects from Hill-type dynamics with application to decoding of p53 signaling.

Authors:  Xiaomin Shi; Jeffrey R Reimers
Journal:  Sci Rep       Date:  2018-02-01       Impact factor: 4.379

  1 in total

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