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计算机模拟在神经退行性疾病中研究无序蛋白质的当前挑战和局限性。

Current Challenges and Limitations in the Studies of Intrinsically Disordered Proteins in Neurodegenerative Diseases by Computer Simulations.

机构信息

Materials Science and Technologies, Turkish-German University, Sahinkaya Caddesi, No. 86, Beykoz, Istanbul 34820, Turkey.

Molecular Biotechnology, Turkish-German University, Sahinkaya Caddesi, No. 86, Beykoz, Istanbul 34820, Turkey.

出版信息

Curr Alzheimer Res. 2020;17(9):805-818. doi: 10.2174/1567205017666201109094908.

Abstract

Experiments face challenges in the analysis of intrinsically disordered proteins in solution due to fast conformational changes and enhanced aggregation propensity. Computational studies complement experiments, being widely used in the analyses of intrinsically disordered proteins, especially those positioned at the centers of neurodegenerative diseases. However, recent investigations - including our own - revealed that computer simulations face significant challenges and limitations themselves. In this review, we introduced and discussed some of the scientific challenges and limitations of computational studies conducted on intrinsically disordered proteins. We also outlined the importance of future developments in the areas of computational chemistry and computational physics that would be needed for generating more accurate data for intrinsically disordered proteins from computer simulations. Additional theoretical strategies that can be developed are discussed herein.

摘要

实验在分析溶液中无规卷曲蛋白时面临挑战,因为它们具有快速构象变化和增强的聚集倾向。计算研究补充了实验,广泛用于无规卷曲蛋白的分析,特别是那些位于神经退行性疾病中心的无规卷曲蛋白。然而,最近的研究——包括我们自己的研究——表明,计算机模拟本身也面临着重大的挑战和局限性。在这篇综述中,我们介绍并讨论了在无规卷曲蛋白计算研究中存在的一些科学挑战和局限性。我们还概述了在计算化学和计算物理领域未来发展的重要性,这将为从计算机模拟中生成更准确的无规卷曲蛋白数据提供必要条件。本文还讨论了可以开发的其他理论策略。

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