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交联质谱法研究蛋白质结构动力学。

Protein structure dynamics by crosslinking mass spectrometry.

机构信息

Technische Universität Berlin, Chair of Bioanalytics, 10623 Berlin, Germany.

Technische Universität Berlin, Chair of Bioanalytics, 10623 Berlin, Germany; Si-M/"Der Simulierte Mensch", a Science Framework of Technische Universität Berlin and Charité - Universitätsmedizin Berlin, 10623 Berlin, Germany; Wellcome Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, UK.

出版信息

Curr Opin Struct Biol. 2023 Jun;80:102599. doi: 10.1016/j.sbi.2023.102599. Epub 2023 Apr 25.

Abstract

Crosslinking mass spectrometry captures protein structures in solution. The crosslinks reveal spatial proximities as distance restraints, but do not easily reveal which of these restraints derive from the same protein conformation. This superposition can be reduced by photo-crosslinking, and adding information from protein structure models, or quantitative crosslinking reveals conformation-specific crosslinks. As a consequence, crosslinking MS has proven useful already in the context of multiple dynamic protein systems. We foresee a breakthrough in the resolution and scale of studying protein dynamics when crosslinks are used to guide deep-learning-based protein modelling. Advances in crosslinking MS, such as photoactivatable crosslinking and in-situ crosslinking, will then reveal protein conformation dynamics in the cellular context, at a pseudo-atomic resolution, and plausibly in a time-resolved manner.

摘要

交联质谱可捕获溶液中的蛋白质结构。交联揭示了空间邻近性作为距离约束,但不容易揭示这些约束中有哪些来自相同的蛋白质构象。这种叠加可以通过光交联来减少,并添加来自蛋白质结构模型的信息,或定量交联揭示构象特异性交联。因此,交联 MS 已经在多个动态蛋白质系统的背景下被证明是有用的。当交联用于指导基于深度学习的蛋白质建模时,我们预计在研究蛋白质动力学的分辨率和规模方面将取得突破。交联 MS 的进展,如光活化交联和原位交联,然后将以拟原子分辨率在细胞环境中揭示蛋白质构象动力学,并可能以时间分辨的方式揭示。

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