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Variety Behavior in the Piece-Wise Linear Model of the p53-Regulatory Module

机译:P53 - 监管模块的分型线性模型中的种类行为

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Biological processes have very complicated nonlinear dynamics thus generally they are mathematically modeled using nonlinear functions. High nonlinearity in the models cause many difficulties in its analysis. We propose to use piece-wise linear differential equations model instead which is easier for analysis. In this approach we created such model of the regulatory module p53. Protein p53 plays crucial role in the cell response after stress stimuli and enables elimination of the carcinogenic mutated cells. The results shows that after stress stimuli, the number, type and localization of the stationary points are changed, which corresponds to different cell behavior observed in the biological experiments.
机译:生物过程具有非常复杂的非线性动力学,因此通常使用非线性函数来数学建模。模型中的高非线性导致分析中的许多困难。我们建议使用分段线性微分方程模型,而是更容易分析。在这种方法中,我们创建了该规范模块P53的模型。蛋白质P53在压力刺激后的细胞应答中起着至关重要的作用,并且能够消除致癌突变细胞。结果表明,在压力刺激之后,改变静止点的数量,类型和定位,这对应于在生物实验中观察到的不同细胞行为。

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