用分子模拟解释氢-氘交换实验:HDXer集成重加权软件的教程和应用[第v1.0版]。

Paul Suhwan Lee, Richard T Bradshaw, Fabrizio Marinelli, Kyle Kihn, Ally Smith, Patrick L Wintrode, Daniel J Deredge, José D Faraldo-Gómez, Lucy R Forrest
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引用次数: 1

摘要

氢-氘交换(HDX)是一种全面而详细的蛋白质结构和动力学探针,与质谱相结合,已成为研究越来越多系统的有力工具。计算机模拟通常用于帮助使交换的实验观察合理化,但解释往往限于微观动态波动与观察到的宏观交换行为之间的简单主观关联。考虑到这一点,我们之前开发了HDX集成重加权方法和相关软件HDXer,以帮助通过分子模拟客观解释HDX数据。HDXer主要有两个功能;首先,计算描述候选蛋白质结构集合中每个结构的H-D交换率,例如从分子模拟中,其次,客观地重新加权候选集合中存在的构象种群,以符合实验交换数据。在本文中,我们首先描述了HDXer的方法、理论和实现。然后,我们通过一套教程指导用户演示准备实验数据的实际方面,从分子模拟计算HDX水平,并执行集合重加权分析。最后,我们提供了对HDXer方法的功能和局限性的实际讨论,包括对用户自己分析的建议。总之,本文旨在提供与该软件相对应的最新教学版本,该软件可在https://github.com/Lucy-Forrest-Lab/HDXer上免费获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interpreting Hydrogen-Deuterium Exchange Experiments with Molecular Simulations: Tutorials and Applications of the HDXer Ensemble Reweighting Software [Article v1.0].

Hydrogen-deuterium exchange (HDX) is a comprehensive yet detailed probe of protein structure and dynamics and, coupled to mass spectrometry, has become a powerful tool for investigating an increasingly large array of systems. Computer simulations are often used to help rationalize experimental observations of exchange, but interpretations have frequently been limited to simple, subjective correlations between microscopic dynamical fluctuations and the observed macroscopic exchange behavior. With this in mind, we previously developed the HDX ensemble reweighting approach and associated software, HDXer, to aid the objective interpretation of HDX data using molecular simulations. HDXer has two main functions; first, to compute H-D exchange rates that describe each structure in a candidate ensemble of protein structures, for example from molecular simulations, and second, to objectively reweight the conformational populations present in a candidate ensemble to conform to experimental exchange data. In this article, we first describe the HDXer approach, theory, and implementation. We then guide users through a suite of tutorials that demonstrate the practical aspects of preparing experimental data, computing HDX levels from molecular simulations, and performing ensemble reweighting analyses. Finally we provide a practical discussion of the capabilities and limitations of the HDXer methods including recommendations for a user's own analyses. Overall, this article is intended to provide an up-to-date, pedagogical counterpart to the software, which is freely available at https://github.com/Lucy-Forrest-Lab/HDXer.

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