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淀粉样β纤维延伸的热力学:过渡态的原子细节。

Thermodynamics of Amyloid-β Fibril Elongation: Atomistic Details of the Transition State.

机构信息

Department of Physics and Astronomy , University of Texas at San Antonio , San Antonio , Texas 78249 , United States.

Department of Biology and Neurosciences Institute , University of Texas at San Antonio , San Antonio , Texas 78249 , United States.

出版信息

ACS Chem Neurosci. 2018 Apr 18;9(4):783-789. doi: 10.1021/acschemneuro.7b00409. Epub 2017 Dec 27.

Abstract

Amyloid-β (Aβ) fibrils and plaques are one of the hallmarks of Alzheimer's disease. While the kinetics of fibrillar growth of Aβ have been extensively studied, several vital questions remain. In particular, the atomistic origins of the Arrhenius barrier observed in experiments have not been elucidated. Employing the familiar thermodynamic integration method, we have directly simulated the dissociation of an Aβ (D23N mutant) peptide from the surface of a filament along its most probable path (MPP) using all-atom molecular dynamics. This allows for a direct calculation of the free energy profile along the MPP, revealing a multipeak energetic barrier between the free peptide state and the aggregated state. By definition of the MPP, this simulated unbinding process represents the reverse of the physical elongation pathway, allowing us to draw biophysically relevant conclusions from the simulation data. Analyzing the detailed atomistic interactions along the MPP, we identify the atomistic origins of these peaks as resulting from the dock-lock mechanism of filament elongation. Careful analysis of the dynamics of filament elongation could prove key to the development of novel therapeutic strategies for amyloid-related diseases.

摘要

淀粉样蛋白-β(Aβ)纤维和斑块是阿尔茨海默病的标志之一。虽然 Aβ纤维生长的动力学已经得到了广泛的研究,但仍有几个重要的问题尚未解决。特别是,实验中观察到的阿伦尼乌斯障碍的原子起源尚未阐明。我们采用熟悉的热力学积分法,使用全原子分子动力学,直接模拟了 Aβ(D23N 突变体)肽从纤维表面沿最可能路径(MPP)的解离。这允许直接计算 MPP 上的自由能分布,揭示了自由肽状态和聚集状态之间的多峰能垒。根据 MPP 的定义,这个模拟的解吸过程代表了物理伸长途径的相反过程,使我们能够从模拟数据中得出具有生物物理相关性的结论。通过分析 MPP 上的详细原子相互作用,我们确定了这些峰的原子起源是由于纤维伸长的码头锁机制。对纤维伸长动力学的仔细分析可能是开发与淀粉样蛋白相关疾病的新型治疗策略的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3015/5911799/d9fff8774f74/cn-2017-00409x_0002.jpg

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