SARS-CoV-2 Omicron 穗状病毒在融合过程中的多步变形

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Wang Xu, Yang Han, Maolin Lu
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引用次数: 0

摘要

在本期《结构》杂志上,Dey 等人1 利用单分子 FRET 技术绘制了融合过程中 Omicron spikes 的构象轨迹图,揭示了从融合前到融合后通过两个中间环节的转变过程。这项研究强调了酸性环境、Ca2+ 和受体在促进 SARS-CoV-2 细胞进入中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-step shapeshifting of SARS-CoV-2 Omicron spikes during fusion
In this issue of Structure, Dey et al.1 employ single-molecule FRET to map the conformational trajectory of Omicron spikes during fusion, revealing a transition from pre-fusion to post-fusion through two intermediates. This study highlights the roles of acidic environments, Ca2+, and receptors in promoting SARS-CoV-2 cell entry.
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来源期刊
Structure
Structure 生物-生化与分子生物学
CiteScore
8.90
自引率
1.80%
发文量
155
审稿时长
3-8 weeks
期刊介绍: Structure aims to publish papers of exceptional interest in the field of structural biology. The journal strives to be essential reading for structural biologists, as well as biologists and biochemists that are interested in macromolecular structure and function. Structure strongly encourages the submission of manuscripts that present structural and molecular insights into biological function and mechanism. Other reports that address fundamental questions in structural biology, such as structure-based examinations of protein evolution, folding, and/or design, will also be considered. We will consider the application of any method, experimental or computational, at high or low resolution, to conduct structural investigations, as long as the method is appropriate for the biological, functional, and mechanistic question(s) being addressed. Likewise, reports describing single-molecule analysis of biological mechanisms are welcome. In general, the editors encourage submission of experimental structural studies that are enriched by an analysis of structure-activity relationships and will not consider studies that solely report structural information unless the structure or analysis is of exceptional and broad interest. Studies reporting only homology models, de novo models, or molecular dynamics simulations are also discouraged unless the models are informed by or validated by novel experimental data; rationalization of a large body of existing experimental evidence and making testable predictions based on a model or simulation is often not considered sufficient.
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