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从量子力学、经典力学和生物信息学到神经退行性疾病的人工智能研究。

From Quantum Mechanics, Classical Mechanics, and Bioinformatics to Artificial Intelligence Studies in Neurodegenerative Diseases.

机构信息

Molecular Biotechnology, Turkish-German University, Istanbul, Turkey.

Electrical and Electronics Engineering, Turkish-German University, Istanbul, Turkey.

出版信息

Methods Mol Biol. 2022;2340:139-173. doi: 10.1007/978-1-0716-1546-1_8.

Abstract

The amyloid β-protein is an intrinsically disordered protein that has the potential to assemble into myriad structures, including oligomers and fibrils. These structures are neurotoxic and are thought to initiate a cascade of events leading to Alzheimer's disease. Understanding this pathogenetic process and elucidating targets for drug therapy depends on elucidation of the structural dynamics of Aβ assembly. In this chapter, we describe work packages required to determine the three-dimensional structures of Aβ and of smaller bioactive fragments thereof, which may be important in AD pathogenesis. These packages include density functional theory, Car-Parrinello molecular dynamics simulations, temperature-dependent replica exchange molecular dynamics simulations, disorder predictors based on bioinformatics, and neural network deep learning.

摘要

淀粉样 β-蛋白是一种固有无序的蛋白质,具有组装成多种结构的潜力,包括寡聚体和纤维。这些结构具有神经毒性,被认为引发了导致阿尔茨海默病的级联事件。了解这一发病过程并阐明药物治疗的靶点依赖于阐明 Aβ 组装的结构动力学。在本章中,我们描述了确定 Aβ及其较小的生物活性片段的三维结构所需的工作包,这对于 AD 的发病机制可能很重要。这些包包括密度泛函理论、Car-Parrinello 分子动力学模拟、温度相关的副本交换分子动力学模拟、基于生物信息学的无序预测器以及神经网络深度学习。

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