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细菌中蛋白质扩散动力学的超统计建模

Superstatistical modelling of protein diffusion dynamics in bacteria.

作者信息

Itto Yuichi, Beck Christian

机构信息

ICP, Universität Stuttgart, 70569 Stuttgart, Germany.

Science Division, Center for General Education, Aichi Institute of Technology, Aichi 470-0392, Japan.

出版信息

J R Soc Interface. 2021 Mar;18(176):20200927. doi: 10.1098/rsif.2020.0927. Epub 2021 Mar 3.

Abstract

A recent experiment (Sadoon AA, Wang Y. 2018 , 042411. (doi:10.1103/PhysRevE.98.042411)) has revealed that nucleoid-associated proteins (i.e. DNA-binding proteins) exhibit highly heterogeneous diffusion processes in bacteria where not only the diffusion constant but also the anomalous diffusion exponent fluctuates for the various proteins. The distribution of displacements of such proteins is observed to take a -Gaussian form, which decays as a power law. Here, a statistical model is developed for the diffusive motion of the proteins within the bacterium, based on a superstatistics with two variables. This model hierarchically takes into account the joint fluctuations of both the anomalous diffusion exponents and the diffusion constants. A fractional Brownian motion is discussed as a possible local model. Good agreement with the experimental data is obtained.

摘要

最近的一项实验(萨敦·AA,王Y. 2018,042411。(doi:10.1103/PhysRevE.98.042411))表明,类核相关蛋白(即DNA结合蛋白)在细菌中表现出高度异质的扩散过程,其中不仅扩散常数,而且各种蛋白的反常扩散指数都会波动。观察到此类蛋白位移的分布呈非高斯形式,其衰减遵循幂律。在此,基于具有两个变量的超统计理论,为细菌内蛋白的扩散运动建立了一个统计模型。该模型分层考虑了反常扩散指数和扩散常数的联合波动。讨论了分数布朗运动作为一种可能的局部模型。该模型与实验数据取得了良好的一致性。

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