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利用互补的 N 和 H 弛豫弥散技术深入了解固体蛋白质在微秒时间尺度上的运动机制。

Mechanistic Insights into Microsecond Time-Scale Motion of Solid Proteins Using Complementary N and H Relaxation Dispersion Techniques.

机构信息

Department Chemie und Pharmazie , Ludwig-Maximilians-Universität München , 81377 München , Germany.

Hall-Atwater Laboratories , Wesleyan University , Middletown , Connecticut 06459 , United States.

出版信息

J Am Chem Soc. 2019 Jan 16;141(2):858-869. doi: 10.1021/jacs.8b09258. Epub 2019 Jan 8.

Abstract

NMR relaxation dispersion methods provide a holistic way to observe microsecond time-scale protein backbone motion both in solution and in the solid state. Different nuclei (H and N) and different relaxation dispersion techniques (Bloch-McConnell and near-rotary-resonance) give complementary information about the amplitudes and time scales of the conformational dynamics and provide comprehensive insights into the mechanistic details of the structural rearrangements. In this paper, we exemplify the benefits of the combination of various solution- and solid-state relaxation dispersion methods on a microcrystalline protein (α-spectrin SH3 domain), for which we are able to identify and model the functionally relevant conformational rearrangements around the ligand recognition loop occurring on multiple microsecond time scales. The observed loop motions suggest that the SH3 domain exists in a binding-competent conformation in dynamic equilibrium with a sterically impaired ground-state conformation both in solution and in crystalline form. This inherent plasticity between the interconverting macrostates is compatible with a conformational-preselection model and provides new insights into the recognition mechanisms of SH3 domains.

摘要

NMR 弛豫分散方法提供了一种整体的方法来观察微秒时间尺度的蛋白质骨架运动,无论是在溶液中还是在固态中。不同的核(H 和 N)和不同的弛豫分散技术(Bloch-McConnell 和近旋转共振)提供了关于构象动力学幅度和时间尺度的互补信息,并提供了对结构重排的机制细节的全面了解。在本文中,我们通过一个微结晶蛋白(α- spectrin SH3 结构域)的实例说明了各种溶液和固态弛豫分散方法相结合的好处,我们能够识别和模拟配体识别环周围的功能相关构象重排,这些重排在多个微秒时间尺度上发生。观察到的环运动表明,SH3 结构域在溶液和晶体形式中均以与空间位阻受损的基态构象处于动态平衡的结合竞争构象存在。这种宏观状态之间的固有可塑性与构象预选择模型兼容,并为 SH3 结构域的识别机制提供了新的见解。

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