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

机译:压抑器非线性数学模型。近似与奇异和奇冲动的动力系统

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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:本文涉及三种基因综合网络模型,其在生活细胞中进行许多基本功能。它是设计具有相互抑制和/或激活的基因网络,导致三重阴性,双负(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。将两个主要过程近似于快速和慢,模型导致多个(具体地,两个)时间尺度模型,即统计的奇异系统。此外,用交换机函数近似山的非线性术语,模型导致脉冲或奇冲动的模型。此外,考虑到不同的物种可能具有不同数量的分子存在,对于少量分子的分子给出,因为本质上,连续近似不再有效。此外,可以在具有离散近似的少量分子中具有一些物种,而其他物种的存在过多,因此连续逼近保持,混合离散的模型的结果是什么,是另一类单个冲动,即杂种模型。给出了生物合理的参数数据集的稳定性结果和响应。

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