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Nonlinear mathematical model of repressilator. Approximation to singular and singularly impulsive dynamical system

机译:稳压器的非线性数学模型。奇异和奇异脉冲动力系统的逼近

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This paper concerns three genes model of synthetic network that carries out many essential functions in living cell. It is designed network of genes with mutual inhibition and/or activation resulting in triple negative, double negative (i.e. positive feedback) or classical negative feedback or positive feedback. Mathematical model which describes these networks is nonlinear. Approximating two main processes as fast and slow, the model results into multiple (specifically, two) time scale model, i.e. singular system which is of reduced dimension. Further, approximating Hill's nonlinear terms with switch-like function, the model results to impulsive or singularly-impulsive model. Also, having in mind that different species might have different number of molecules present, for case of small number of molecules discrete approximation is given, since by nature, the continuum approximation is not valid any more. Further, it is possible to have some species in small number of molecules with discrete approximation, while other species are present in excess so that continuum approximation holds, what results in mixed discrete-continuous model, what is another class of singularly impulsive, i.e. hybrid model. Stability results and responses are given for the biologically plausible set of parameter data.
机译:本文涉及在活细胞中执行许多基本功能的合成网络的三个基因模型。它被设计成具有相互抑制和/或激活的基因网络,从而导致三重负,双重负(即正反馈)或经典负反馈或正反馈。描述这些网络的数学模型是非线性的。该模型将快速和慢速这两个主要过程进行了近似,得出了多个(具体来说是两个)时标模型,即维数较小的奇异系统。此外,用类似开关的函数近似希尔的非线性项,该模型得到脉冲或奇异脉冲模型。同样,请记住,对于不同种类,可能存在不同数量的分子,对于少量分子,给出了离散近似,因为从本质上讲,连续近似不再有效。此外,有可能在少数分子中有一些物种具有离散近似,而另一些物种则以过量存在,从而使连续近似成立,这导致混合离散连续模型,这是另一类奇异脉冲,即混合模型。给出了生物学上合理的参数数据集的稳定性结果和响应。

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