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Mean-field analysis of two-species totally asymmetric simple exclusion process (TASEP) with attachment and detachment

机译:两个物种完全不对称简单排除过程(Tasep)的平均场分析,附着和分离

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摘要

In the field of statistical physics, unidirectional motion of a large number of particles along a single track can be described by totally asymmetric simple exclusion process (TASEP), from which many meaningful properties, such as the appearance of domain wall (defined as the borderline of high particle density and low particle density along the motion track) and boundary layers, can be obtained. However, it is biologically general that a single track may be occupied by different particle species. For example, in cells each microtubule protofilament is usually occupied by different species of motor protein. So previous studies about TASEP that included only one particle species may not be reasonable enough to describe more detailed properties of particle motion processes in a real cell environment. To address this problem, TASEP including two particle species is discussed in this study. Theoretical methods to get particle densities of each species are provided. By which, phase transition related properties of particle densities are obtained. Our analysis shows that domain wall and boundary layers of single species densities always appear simultaneously with those of the total particle density. The height of the domain wall of total particle density is equal to the summation of those of single particle species. Phase diagrams for typical model parameters are also presented. The methods presented in this study can be generalized to analyze TASEP with more particle species.
机译:在统计物理领域中,可以通过全部不对称的简单排除过程(TASEP)来描述沿着单个轨道的大量粒子的单向运动,这是许多有意义的属性,例如域壁的外观(定义为边界线可以获得沿运动轨道的高粒子密度和低粒子密度,可以获得边界层。然而,它是生物学上的一般,即单个轨道可以被不同的颗粒物种占据。例如,在细胞中,每种微管原料含量通常由不同的电机蛋白占据。因此,以前的关于仅包括一种粒子物种的TASEP的研究可能不足以描述真实细胞环境中的粒子运动过程的更详细性质。为了解决这个问题,本研究讨论了包括两个粒子物种的TASEP。提供了用于获得每种物种的粒子密度的理论方法。由此,获得颗粒密度的相转变相关性质。我们的分析表明,单一物种密度的畴壁和边界层总是与总粒子密度同时出现。总粒子密度的畴壁的高度等于单颗粒物种的求和。还呈现了典型模型参数的相图。本研究中呈现的方法可以是推广的,以通过更多的颗粒物种分析TASEP。

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