用于检测蛋白质慢运动的氘固态核磁共振的最新进展

IF 1.8 3区 化学 Q4 CHEMISTRY, PHYSICAL Solid state nuclear magnetic resonance Pub Date : 2021-02-01 DOI:10.1016/j.ssnmr.2020.101710
Liliya Vugmeyster
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引用次数: 8

摘要

蛋白质中的慢时间尺度动力学对于多种生物功能至关重要,包括配体结合、酶催化、蛋白质折叠和错误折叠调节,以及蛋白质-蛋白质和蛋白质-核酸相互作用。本文综述了适用于研究蛋白质微秒至毫秒运动模式的2H静态核磁共振方法的实验和理论进展,特别是旋转框架弛豫色散(R1ρ)、四极性carr - purcell - meiboomm - gill (QCPMG)弛豫色散和四极性化学交换饱和转移核磁共振实验(Q-CEST)。通过选择淀粉样蛋白-β原纤维的应用,我们展示了这些方法的互补性,以阐明非结晶固体中无序结构域的构象集成的复杂性,并使用选择性氘标记。结合15N/13C/1H核弛豫色散骨干测量的最新进展,这些技术为研究固体中无序结构域的生物学相关时间尺度动力学提供了有力的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Recent developments in deuterium solid-state NMR for the detection of slow motions in proteins

Slow timescale dynamics in proteins are essential for a variety of biological functions spanning ligand binding, enzymatic catalysis, protein folding and misfolding regulations, as well as protein–protein and protein–nucleic acid interactions. In this review, we focus on the experimental and theoretical developments of 2H static NMR methods applicable for studies of microsecond to millisecond motional modes in proteins, particularly rotating frame relaxation dispersion (R), quadrupolar Carr–Purcell–Meiboom–Gill (QCPMG) relaxation dispersion, and quadrupolar chemical exchange saturation transfer NMR experiments (Q-CEST). With applications chosen from amyloid-β fibrils, we show the complementarity of these approaches for elucidating the complexities of conformational ensembles in disordered domains in the non-crystalline solid state, with the employment of selective deuterium labels. Combined with recent advances in relaxation dispersion backbone measurements for 15N/13C/1H nuclei, these techniques provide powerful tools for studies of biologically relevant timescale dynamics in disordered domains in the solid state.

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来源期刊
CiteScore
5.30
自引率
9.40%
发文量
42
审稿时长
72 days
期刊介绍: The journal Solid State Nuclear Magnetic Resonance publishes original manuscripts of high scientific quality dealing with all experimental and theoretical aspects of solid state NMR. This includes advances in instrumentation, development of new experimental techniques and methodology, new theoretical insights, new data processing and simulation methods, and original applications of established or novel methods to scientific problems.
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