病毒学单分子FRET: 20年洞察蛋白质结构和动力学。

IF 7.2 2区 生物学 Q1 BIOPHYSICS
Danielle Groves, Christof Hepp, Achillefs N Kapanidis, Nicole C Robb
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引用次数: 0

摘要

尽管病毒蛋白的结构和复制机制已经通过x射线晶体学、冷冻电子显微镜和群体成像研究进行了广泛的探索,但这些方法往往无法实时区分动态构象变化。单分子荧光共振能量转移(smFRET)提供了独特的见解相互作用和状态,可能会错过在集合研究,如核酸或蛋白质结构,折叠,受体-配体相互作用和融合过程中的构象转变。我们讨论了smFRET在病毒蛋白质构象动力学研究中的应用,特别关注病毒糖蛋白动力学、病毒解旋酶、参与HIV逆转录的蛋白质和流感RNA聚合酶。smFRET实验在破译这些过程中的构象变化方面发挥了至关重要的作用,强调了smFRET作为帮助阐明病毒病原体生命周期和确定关键抗病毒靶点的工具的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single-molecule FRET for virology: 20 years of insight into protein structure and dynamics.

Although viral protein structure and replication mechanisms have been explored extensively with X-ray crystallography, cryo-electron microscopy, and population imaging studies, these methods are often not able to distinguish dynamic conformational changes in real time. Single-molecule fluorescence resonance energy transfer (smFRET) offers unique insights into interactions and states that may be missed in ensemble studies, such as nucleic acid or protein structure, and conformational transitions during folding, receptor-ligand interactions, and fusion. We discuss the application of smFRET to the study of viral protein conformational dynamics, with a particular focus on viral glycoprotein dynamics, viral helicases, proteins involved in HIV reverse transcription, and the influenza RNA polymerase. smFRET experiments have played a crucial role in deciphering conformational changes in these processes, emphasising the importance of smFRET as a tool to help elucidate the life cycle of viral pathogens and identify key anti-viral targets.

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来源期刊
Quarterly Reviews of Biophysics
Quarterly Reviews of Biophysics 生物-生物物理
CiteScore
12.90
自引率
1.60%
发文量
16
期刊介绍: Quarterly Reviews of Biophysics covers the field of experimental and computational biophysics. Experimental biophysics span across different physics-based measurements such as optical microscopy, super-resolution imaging, electron microscopy, X-ray and neutron diffraction, spectroscopy, calorimetry, thermodynamics and their integrated uses. Computational biophysics includes theory, simulations, bioinformatics and system analysis. These biophysical methodologies are used to discover the structure, function and physiology of biological systems in varying complexities from cells, organelles, membranes, protein-nucleic acid complexes, molecular machines to molecules. The majority of reviews published are invited from authors who have made significant contributions to the field, who give critical, readable and sometimes controversial accounts of recent progress and problems in their specialty. The journal has long-standing, worldwide reputation, demonstrated by its high ranking in the ISI Science Citation Index, as a forum for general and specialized communication between biophysicists working in different areas. Thematic issues are occasionally published.
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