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原纤维状态的动力学和机械稳定性控制多肽链的原纤维形成时间:一项计算研究。

Kinetics and mechanical stability of the fibril state control fibril formation time of polypeptide chains: A computational study.

机构信息

Faculty of Chemistry, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland.

Institute of Physics, Polish Academy of Sciences, Lotnikow 32/46, 02-668 Warsaw, Poland.

出版信息

J Chem Phys. 2018 Jun 7;148(21):215106. doi: 10.1063/1.5028575.

Abstract

Fibril formation resulting from protein misfolding and aggregation is a hallmark of several neurodegenerative diseases such as Alzheimer's and Parkinson's diseases. Despite much progress in the understanding of the protein aggregation process, the factors governing fibril formation rates and fibril stability have not been fully understood. Using lattice models, we have shown that the fibril formation time is controlled by the kinetic stability of the fibril state but not by its energy. Having performed all-atom explicit solvent molecular dynamics simulations with the GROMOS43a1 force field for full-length amyloid beta peptides Aβ and Aβ and truncated peptides, we demonstrated that kinetic stability can be accessed via mechanical stability in such a way that the higher the mechanical stability or the kinetic stability, the faster the fibril formation. This result opens up a new way for predicting fibril formation rates based on mechanical stability that may be easily estimated by steered molecular dynamics.

摘要

纤维形成导致蛋白质错误折叠和聚集是几种神经退行性疾病的标志,如阿尔茨海默病和帕金森病。尽管在理解蛋白质聚集过程方面取得了很大进展,但控制纤维形成速率和纤维稳定性的因素尚未完全理解。我们使用格子模型表明,纤维形成时间受纤维状态的动力学稳定性控制,而不受其能量控制。通过使用 GROMOS43a1 力场对全长淀粉样β肽 Aβ 和 Aβ 和截断肽进行全原子显式溶剂分子动力学模拟,我们证明可以通过机械稳定性来获得动力学稳定性,从而使机械稳定性或动力学稳定性越高,纤维形成越快。这一结果为基于机械稳定性预测纤维形成速率开辟了一条新途径,该途径可以通过导向分子动力学轻松估计。

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