需要速度:质谱法作为结构研究的样品分析工具

IF 4.3 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Lauren E. Vostal
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引用次数: 0

摘要

质谱光度法(MP)是一种测量溶液中单个分子质量的无标记方法。在这里,我们讨论了MP的原理,该技术的示例使用,以及它如何成为结构生物学家简化冷冻电子显微镜(cryo-EM)管道的有价值的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Need for speed: Mass photometry as a sample analysis tool for structural studies
Mass photometry (MP) is a label-free approach that measures the mass of single molecules in solution. Here, we discuss the principles of MP, example uses of the technique, and how it can be a valuable tool for structural biologists in streamlining cryoelectron microscopy (cryo-EM) pipelines.
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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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