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固态 NMR 能为我们理解蛋白质折叠贡献什么?

What can solid state NMR contribute to our understanding of protein folding?

机构信息

Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-0520, United States.

出版信息

Biophys Chem. 2010 Sep;151(1-2):10-21. doi: 10.1016/j.bpc.2010.05.009. Epub 2010 May 23.

Abstract

Complete understanding of the folding process that connects a structurally disordered state of a protein to an ordered, biochemically functional state requires detailed characterization of intermediate structural states with high resolution and site specificity. While the intrinsically inhomogeneous and dynamic nature of unfolded and partially folded states limits the efficacy of traditional X-ray diffraction and solution NMR in structural studies, solid state NMR methods applied to frozen solutions can circumvent the complications due to molecular motions and conformational exchange encountered in unfolded and partially folded states. Moreover, solid state NMR methods can provide both qualitative and quantitative structural information at the site-specific level, even in the presence of structural inhomogeneity. This article reviews relevant solid state NMR methods and their initial applications to protein folding studies. Using either chemical denaturation to prepare unfolded states at equilibrium or a rapid freezing apparatus to trap non-equilibrium, transient structural states on a sub-millisecond time scale, recent results demonstrate that solid state NMR can contribute essential information about folding processes that is not available from more familiar biophysical methods.

摘要

要完全理解将蛋白质的结构无序状态与有序的生物化学功能状态连接起来的折叠过程,需要高分辨率和位点特异性来详细描述中间结构状态。虽然无规卷曲和部分折叠状态的固有不均匀性和动态性质限制了传统的 X 射线衍射和溶液 NMR 在结构研究中的有效性,但应用于冷冻溶液的固态 NMR 方法可以避免在无规卷曲和部分折叠状态中遇到的分子运动和构象交换的复杂性。此外,固态 NMR 方法甚至在存在结构不均匀性的情况下,也可以在位点特异性水平上提供定性和定量的结构信息。本文综述了相关的固态 NMR 方法及其在蛋白质折叠研究中的初步应用。通过化学变性在平衡时制备无规卷曲状态,或使用快速冷冻装置在亚毫秒时间尺度上捕获非平衡的瞬态结构状态,最近的结果表明,固态 NMR 可以提供更多熟悉的生物物理方法无法获得的有关折叠过程的重要信息。

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