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Stochastic Simulations in the Dynamical Model of p53-Mdm2 Feedback Loop Regulated by p14/19ARF

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We propose a stochastic dynamical model to study the dynamical mechanism of the negative feedback loop composed of p53 and Mdm2 proteins that are regulated by p14/19ARF. The different stochastic oscillatory behaviors of p53 and Mdm2 proteins that are regulated by p14/19ARF in individual cells are described in our stochastic dynamical model. The results help us build a basal network to reflect the stochastic oscillatory behaviors between p53, Mdm2 and p14/19ARF. The stochastic dynamical model of p53-Mdm2 feedback loop that is regulated by p14/19ARF and its numerical results will help us understand the stochastic oscillatory behavior of p53, Mdm2 and p14/19ARF more deeply and rationally. It will also help us study the stochastic relations among the network of different proteins, and study how the stochastic factor influences the feedback loop.
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Document Type: Research Article

Publication date: 2007-11-01

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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