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膜弯曲蛋白的结构表征:定点自旋标记、电子顺磁共振和计算优化

Structural Characterization of Membrane-Curving Proteins: Site-Directed Spin Labeling, EPR, and Computational Refinement.

作者信息

Ambroso Mark R, Haworth Ian S, Langen Ralf

机构信息

Department of Biochemistry and Molecular Biology, Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA.

Department of Pharmacology and Pharmaceutical Sciences, University of Southern California, Los Angeles, California, USA.

出版信息

Methods Enzymol. 2015;564:259-88. doi: 10.1016/bs.mie.2015.07.002. Epub 2015 Aug 31.

Abstract

Endocytosis and other membrane remodeling processes require the coordinated generation of different membrane shapes. Proteins capable of manipulating lipid bilayers mediate these events using mechanisms that are not fully understood. Progress is limited by the small number of structures solved for proteins bound to different membrane shapes and tools capable of resolving such information. However, recent studies have shown site-directed spin labeling (SDSL) in combination with electron paramagnetic resonance (EPR) to be capable of obtaining high-resolution structural information for proteins bound to different membrane shapes. This technique can be applied to proteins with no known structure or proteins with structures known in solution. By refining the data obtained by EPR with computational modeling, 3D structures or structural models of membrane-bound proteins can be generated. In this chapter, we highlight the basic considerations and steps required to investigate the structures of membrane-bound proteins using SDSL, EPR, and computational refinement.

摘要

内吞作用和其他膜重塑过程需要协调产生不同的膜形状。能够操纵脂质双层的蛋白质通过尚未完全理解的机制介导这些事件。由于与不同膜形状结合的蛋白质的解析结构数量较少,以及能够解析此类信息的工具有限,进展受到限制。然而,最近的研究表明,定点自旋标记(SDSL)与电子顺磁共振(EPR)相结合,能够为与不同膜形状结合的蛋白质获得高分辨率结构信息。该技术可应用于无已知结构的蛋白质或溶液中已知结构的蛋白质。通过用计算模型完善EPR获得的数据,可以生成膜结合蛋白的三维结构或结构模型。在本章中,我们重点介绍了使用SDSL、EPR和计算优化来研究膜结合蛋白结构所需的基本注意事项和步骤。

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