论文标题

Deuteros 2.0:来自氢氘交换质谱的肽水平的显着性测试

Deuteros 2.0: Peptide-level significance testing of data from hydrogen deuterium exchange mass spectrometry

论文作者

Lau, Andy M., Claesen, Jurgen, Hansen, Kjetil, Politis, Argyris

论文摘要

摘要:氢氘交换质谱法(HDX-MS)正变得越来越多,以监测蛋白质结构动力学的变化。差异HDX-MS可以比较单个蛋白质态,例如在不存在或存在配体的情况下。这可以用来将构象的变化归因于绑定事件,从而允许整个结构网络的映射。因此,随着其他状态被引入研究系统,必要的跨州比较的数量迅速增加。目前,很少有可用的软件包可快速且内容丰富的HDX-MS数据集,甚至很少提供统计分析和高级可视化。根据我们原始软件Deuteros的反馈,我们提出了Deuteros 2.0,该2.0已从地面重新设计,以在HDX-MS分析管道中扮演更大的作用。 Deuteros 2.0具有用于背部交换校正,数据摘要,肽级统计分析和高级数据绘图功能的设施的曲目。可用性:Deuteros 2.0可以从apache 2.0许可下从https://github.com/andymlau/deuteros_2.0下载。 Deuteros 2.0的安装需要MATLAB运行时库免费提供的MathWorks(https://www.mathworks.com/products/compiler/matlab-runtime.html),可用于Windows和Mac操作系统。

Summary: Hydrogen deuterium exchange mass spectrometry (HDX-MS) is becoming increasing routine for monitoring changes in the structural dynamics of proteins. Differential HDX-MS allows comparison of individual protein states, such as in the absence or presence of a ligand. This can be used to attribute changes in conformation to binding events, allowing the mapping of entire con-formational networks. As such, the number of necessary cross-state comparisons quickly increas-es as additional states are introduced to the system of study. There are currently very few software packages available that offer quick and informative comparison of HDX-MS datasets and even few-er which offer statistical analysis and advanced visualization. Following the feedback from our origi-nal software Deuteros, we present Deuteros 2.0 which has been redesigned from the ground up to fulfil a greater role in the HDX-MS analysis pipeline. Deuteros 2.0 features a repertoire of facilities for back exchange correction, data summarization, peptide-level statistical analysis and advanced data plotting features. Availability: Deuteros 2.0 can be downloaded from https://github.com/andymlau/Deuteros_2.0 under the Apache 2.0 license. Installation of Deuteros 2.0 requires the MATLAB Runtime Library available free of charge from MathWorks (https://www.mathworks.com/products/compiler/matlab-runtime.html) and is available for both Windows and Mac operating systems.

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