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溶剂组成对 3D-RISM-KH 溶剂化分子理论中 Aβ42 单体结构性质的影响。

Solvent Composition Effects on the Structural Properties of the Aβ42 Monomer from the 3D-RISM-KH Molecular Theory of Solvation.

机构信息

Department of Mechanical Engineering , Edmonton , Alberta T6G 1H9 , Canada.

Nanotechnology Research Centre , Edmonton , Alberta T6G 2M9 , Canada.

出版信息

J Phys Chem B. 2019 Mar 21;123(11):2491-2506. doi: 10.1021/acs.jpcb.9b00480. Epub 2019 Mar 12.

Abstract

Structural characterization of amyloid (A)β peptides implicated in Alzheimer's disease is a challenging problem due to their intrinsically disordered nature and their high propensity for aggregation. Only limited information is currently available from experiments on conformational properties and aggregation pathways of the peptides in cellular environments. In silico modeling complements experimental information, providing atomistic insight into structure and dynamics of different Aβ species. All-atom explicit solvent molecular dynamics (MD) simulations with a properly selected force field can deliver reliable structural and dynamic information. In the case of intrinsically disordered Aβ peptides, enhanced sampling simulations beyond the nanosecond time scale are required to obtain statistically meaningful results even for simple solvent conditions. To overcome the challenges of conformational sampling in crowded cellular environments, alternative approaches have to be used, including postprocessing of MD data. In this study, we employ the statistical-mechanical, three-dimensional reference interaction site model with the Kovalenko-Hirata closure integral equation molecular theory of solvation to describe solvent composition effects on the conformational equilibrium in a structural ensemble of the Aβ42 (covering residues 1-42) monomer based on a statistical reweighting technique. The methodology enables a computationally efficient prediction on how different factors in the cellular environment, such as solvent composition, nonpolar solvation, and macromolecular crowding, affect the structural properties of the monomer. Similarities have been identified between changes in the structural ensemble caused by nonpolar solvation and crowded environments modeled by ionic solution with large negative ions. In particular, both solvent conditions reduce the random coil content and enhance the helical structure content of the monomer. In contrast to the previous studies, which reported increased α-helical content of peptides in crowded environments, this work attributes these structural features to the difference in solvent exposure of hydrophilic residues of the monomer for different secondary structure elements, rather than to (entropic) excluded volume effects.

摘要

由于其固有无序的性质及其高度聚集的倾向,对涉及阿尔茨海默病的淀粉样(A)β肽进行结构表征是一个具有挑战性的问题。目前,关于细胞环境中肽的构象特性和聚集途径的实验仅提供了有限的信息。计算模型补充了实验信息,为不同 Aβ 物种的结构和动力学提供了原子水平的深入了解。具有适当选择力场的全原子显式溶剂分子动力学(MD)模拟可以提供可靠的结构和动态信息。对于固有无序的 Aβ肽,即使在简单的溶剂条件下,也需要超出纳秒时间尺度的增强采样模拟,才能获得具有统计学意义的结果。为了克服在拥挤的细胞环境中构象采样的挑战,必须使用替代方法,包括 MD 数据的后处理。在这项研究中,我们采用统计力学的三维参考相互作用位点模型与 Kovalenko-Hirata 封闭积分方程溶剂化分子理论相结合,基于统计重加权技术,描述溶剂组成对 Aβ42(涵盖残基 1-42)单体结构集合中构象平衡的影响。该方法能够有效地预测细胞环境中的不同因素(如溶剂组成、非极性溶剂化和大分子拥挤)如何影响单体的结构特性。已经确定了非极性溶剂化和由大负离子模拟的拥挤环境引起的结构集合变化之间的相似性。特别是,这两种溶剂条件都降低了无规卷曲的含量并增加了单体的螺旋结构含量。与之前报道的在拥挤环境中肽的α-螺旋含量增加的研究不同,这项工作将这些结构特征归因于单体不同二级结构元件的亲水性残基的溶剂暴露差异,而不是(熵)排除体积效应。

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