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神经丝侧臂的构象动力学。

Conformational dynamics of neurofilament side-arms.

机构信息

Center for Integrated Nanotechnologies, Sandia National Laboratories, Albuquerque, New Mexico 87185-1315, USA.

出版信息

J Phys Chem B. 2010 Jul 15;114(27):8879-86. doi: 10.1021/jp102128u.

Abstract

The side-arms of neurofilaments (NFs) have been proposed to be highly disordered, leading to entropic repulsion that modulates interfilament spacing. To gain further insight into the dynamics and organization of the side-arms, we performed molecular dynamics simulations of neurofilament brushes using a coarse-grained model. The density profiles for three NF proteins, NF-L, NF-M, and phosphorylated NF-H (NF-HP), grafted to planar surfaces were calculated and examined as a function of component (salt, residues) and as a function of charge. Analysis of these profiles reveals that the NF with the shortest side arm, NF-L, is disproportionately long compared to the other NFs. The reason for difference is that NF-L is effectively a strong polyelectrolyte, while NF-M and NF-HP are effectively weaker polyelectrolytes. Further, we find cross-correlations between neurofilament side-arms within the brush, even for the NF-L polymers. These correlations occur because of strong attractions between the long sequence repeats of negative residues and the long postive residue repeats and impart a time average structure of the neurofilament brush that deviates from an ideal polymer in a theta solvent.

摘要

神经丝(NFs)的侧臂被认为具有高度的无序性,导致熵斥力,从而调节纤维间的间距。为了更深入地了解侧臂的动力学和组织,我们使用粗粒度模型对神经丝刷进行了分子动力学模拟。计算并研究了三种 NF 蛋白(NF-L、NF-M 和磷酸化 NF-H(NF-HP))接枝到平面表面的密度分布,作为成分(盐、残基)和电荷的函数。这些分布的分析表明,具有最短侧臂的 NF-L 与其他 NF 相比不成比例地长。造成这种差异的原因是 NF-L 实际上是一种强聚电解质,而 NF-M 和 NF-HP 则是有效的弱聚电解质。此外,我们发现刷状神经丝侧臂之间存在交叉相关,即使对于 NF-L 聚合物也是如此。这些相关性是由于负残基的长序列重复和长正残基重复之间的强烈吸引力引起的,并赋予神经丝刷一种时间平均结构,该结构偏离了在θ溶剂中的理想聚合物。

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