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INEPT-Based Separated-Local-Field NMR Spectroscopy: A Unique Approach To Elucidate Side-Chain Dynamics of Membrane-Associated Proteins

机译:基于INEPT的分离局部场NMR光谱:阐明膜相关蛋白侧链动力学的独特方法

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摘要

Despite recent advances in NMR approaches for structural biology, determination of membrane protein dynamics in its native environment continues to be a monumental challenge, as most NMR structural studies of membrane proteins are commonly carried out either in micelles or in vesicle systems under frozen conditions. To overcome this difficulty, we propose a solid-state NMR technique that allows for the determination of side-chain dynamics from membrane proteins in lipid bilayers. This new technique, namely dipolar enhanced polarization transfer (DREPT), allows for a wide range of dipolar couplings to be encoded, providing high resolution and sensitivity for systems that undergo motional averaging such as that of amino acid side chains. NMR observables such as dipolar couplings and chemical shift anisotropy, which are highly sensitive to molecular motions, provide a direct way of probing protein dynamics over a wide range of time scales. Therefore, using an appropriate model, it is possible to determine side-chain dynamics and provide additional information on the topology and function of a membrane protein in its native environment.
机译:尽管最近在结构生物学的NMR方法方面取得了进展,但在自然环境中确定膜蛋白动力学仍然是一个巨大的挑战,因为大多数膜蛋白的NMR结构研究通常是在胶束或囊泡系统中在冷冻条件下进行的。为了克服这个困难,我们提出了一种固态NMR技术,该技术可以确定脂质双层中膜蛋白的侧链动力学。这种新技术,即偶极增强极化转移(DREPT),允许对各种偶极耦合进行编码,从而为经历运动平均的系统(如氨基酸侧链)提供高分辨率和灵敏度。对分子运动高度敏感的NMR可观察到的信息,例如偶极偶合和化学位移各向异性,提供了在广泛的时间范围内探测蛋白质动力学的直接方法。因此,使用适当的模型,可以确定侧链动力学并提供有关膜蛋白在其天然环境中的拓扑和功能的其他信息。

著录项

  • 来源
    《Journal of the American Chemical Society》 |2010年第29期|p.9944-9947|共4页
  • 作者

    Jiadi Xu;

  • 作者单位

    Biophysics and Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109-1055, and Department of Anesthesiology, University of Michigan, and VA Medical Center, Ann Arbor, Michigan 48105;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-18 00:50:20

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