蛋白质如何挤压通过聚合物网络：笛卡尔晶格研究
How proteins squeeze through polymer networks: a Cartesian lattice study
摘要：
本文提出了一个颗粒在相间细胞核中扩散输运的格子模型。研究了格点上单链的动力学行为，验证了Rouse标度性.动态密集网络的结合版本的键涨落方法和大都会蒙特卡罗算法创建。显示了稠密链网络的半稀释行为。通过比较静态和动态链网络中颗粒的扩散，我们证明链扩散不会改变小颗粒的扩散过程。然而，我们证明了一个动态网络有利于大粒子的运输。通过对静态链网络中粒子的均方位移轨迹进行加权，可以重建动态网络中的数据。此外，它示出，亚扩散行为的颗粒在短时间尺度上的结果从捕获过程中拥挤的环境中的链网络。在所提出的模型中，直径为30 nm的蛋白质在染色质纤维网络中的有效扩散系数为1.24 E-11 m^2/s。
英文摘要：
In this paper a lattice model for the diffusional transport of particles in the interphase cell nucleus is proposed. The dynamic behaviour of single chains on the lattice is investigated and Rouse scaling is verified. Dynamical dense networks are created by a combined version of the bond fluctuation method and a Metropolis Monte Carlo algorithm. Semidilute behaviour of the dense chain networks is shown. By comparing diffusion of particles in a static and a dynamical chain network, we demonstrate that chain diffusion does not alter the diffusion process of small particles. However, we prove that a dynamical network facilitates the transport of large particles. By weighting the mean square displacement trajectories of particles in the static chain network data from the dynamical network can be reconstructed. Additionally, it is shown that subdiffusive behaviour of particles on short time scales results from trapping processes in the crowded environment of the chain network. In the presented model a protein with 30 nm diameter has an effective diffusion coefficient of 1.24E-11 m^2/s in a chromatin fiber network.
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