Literature DB >> 24906317

Introductory review of computational cell cycle modeling.

Andres Kriete1, Eishi Noguchi, Christian Sell.   

Abstract

Recent advances in the modeling of the cell cycle through computer simulation demonstrate the power of systems biology. By definition, systems biology has the goal to connect a parts list, prioritized through experimental observation or high-throughput screens, by the topology of interactions defining intracellular networks to predict system function. Computer modeling of biological systems is often compared to a process of reverse engineering. Indeed, designed or engineered technical systems share many systems-level properties with biological systems; thus studying biological systems within an engineering framework has proven successful. Here we review some aspects of this process as it pertains to cell cycle modeling.

Entities:  

Mesh:

Year:  2014        PMID: 24906317      PMCID: PMC4133988          DOI: 10.1007/978-1-4939-0888-2_12

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


  24 in total

1.  Circadian clocks limited by noise.

Authors:  N Barkai; S Leibler
Journal:  Nature       Date:  2000-01-20       Impact factor: 49.962

2.  Robustness of circadian rhythms with respect to molecular noise.

Authors:  Didier Gonze; José Halloy; Albert Goldbeter
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-15       Impact factor: 11.205

3.  Mechanisms of noise-resistance in genetic oscillators.

Authors:  José M G Vilar; Hao Yuan Kueh; Naama Barkai; Stanislas Leibler
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-23       Impact factor: 11.205

Review 4.  Reverse engineering of biological complexity.

Authors:  Marie E Csete; John C Doyle
Journal:  Science       Date:  2002-03-01       Impact factor: 47.728

5.  Network motifs: simple building blocks of complex networks.

Authors:  R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

Review 6.  Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell.

Authors:  John J Tyson; Katherine C Chen; Bela Novak
Journal:  Curr Opin Cell Biol       Date:  2003-04       Impact factor: 8.382

7.  Integrative analysis of cell cycle control in budding yeast.

Authors:  Katherine C Chen; Laurence Calzone; Attila Csikasz-Nagy; Frederick R Cross; Bela Novak; John J Tyson
Journal:  Mol Biol Cell       Date:  2004-05-28       Impact factor: 4.138

Review 8.  The ups and downs of modeling the cell cycle.

Authors:  Nicholas T Ingolia; Andrew W Murray
Journal:  Curr Biol       Date:  2004-09-21       Impact factor: 10.834

9.  Computational modeling of the cell cycle.

Authors:  Eric A Sobie
Journal:  Sci Signal       Date:  2011-09-20       Impact factor: 8.192

10.  Modeling the cell division cycle: cdc2 and cyclin interactions.

Authors:  J J Tyson
Journal:  Proc Natl Acad Sci U S A       Date:  1991-08-15       Impact factor: 11.205

View more
  1 in total

Review 1.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.