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

机译:动力学和机械稳定性的原纤维状态控制多肽链原纤维形成时间:一个计算研究

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摘要

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 Aβ40 and Aβ42 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.
机译:蛋白质错误折叠和聚集导致的原纤维形成是多种神经退行性疾病(例如阿尔茨海默氏病和帕金森氏病)的标志。尽管在蛋白质聚集过程的理解上取得了很大的进展,但尚未完全了解控制原纤维形成速率和原纤维稳定性的因素。使用晶格模型,我们已经表明原纤维形成时间是由原纤维状态的动力学稳定性控制的,而不是由其能量控制的。使用GROMOS43a1力场对全长淀粉样β肽Aβ40和Aβ42以及截短的肽进行了全原子显式溶剂分子动力学模拟,我们证明了可以通过机械稳定性获得动力学稳定性,从而使机械稳定性越高或动力学稳定性,原纤维形成越快。该结果开辟了一种基于机械稳定性来预测原纤维形成速率的新方法,该方法很容易通过操纵分子动力学来估算。

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