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PepFoot:用于蛋白质足迹数据半自动处理的软件包。

PepFoot: A Software Package for Semiautomated Processing of Protein Footprinting Data.

机构信息

School of Chemistry , University of Nottingham , University Park, Nottingham , NG7 2RD , United Kingdom.

出版信息

J Proteome Res. 2019 Jul 5;18(7):2925-2930. doi: 10.1021/acs.jproteome.9b00238. Epub 2019 Jun 7.

DOI:10.1021/acs.jproteome.9b00238
PMID:31132275
Abstract

Covalent footprinting of proteins using reactive intermediates such as radicals and carbenes is emerging as a valuable tool for mapping surface accessibility, and hence binding sites of proteins. The approach generates a significant amount of mass spectrometry (MS) data, which can be time-consuming to process manually. PepFoot, a software package that allows semiautomated processing of MS data from footprinting experiments, is described. By using the open source .mz5 file format, it is able to accept data from all the major instrument manufacturers. Following manual user interrogation of one data file within a user-friendly GUI, the software then automates determination of the degree of fractional modification ( f) with the footprinting agent across a batch of experimental data. This greatly increases efficiency and throughput compared to manual analysis of each file, and provides initial scrutiny and confidence compared to fully automated analysis. Histogram plots of f for each peptide from the footprinted protein may be displayed within PepFoot and mapped onto an imported protein structure to reveal differential labeling patterns and hence binding sites. The software has been tested on data from carbene and hydroxyl radical labeling experiments to demonstrate its broad utility. PepFoot is released under the LGPL version 3 license, and is available for Windows, MacOS, and Linux systems at github.com/jbellamycarter/pepfoot .

摘要

使用自由基和卡宾等反应中间体对蛋白质进行共价足迹分析,正在成为一种用于绘制蛋白质表面可及性和结合部位的有价值的工具。该方法会生成大量的质谱 (MS) 数据,手动处理这些数据非常耗时。本文介绍了 PepFoot 软件包,它允许对半自动化处理足迹实验的 MS 数据。通过使用开源的.mz5 文件格式,它能够接受来自所有主要仪器制造商的数据。在用户友好的 GUI 中手动查询一个数据文件后,该软件会自动确定足迹试剂在一批实验数据中对每个肽的部分修饰 ( f) 程度。与手动分析每个文件相比,这大大提高了效率和通量,并且与完全自动化分析相比,提供了初步的审查和信心。可以在 PepFoot 中显示来自足迹蛋白的每个肽的 f 的直方图,并将其映射到导入的蛋白质结构上,以揭示不同的标记模式和结合部位。该软件已经在卡宾和羟基自由基标记实验的数据上进行了测试,以证明其广泛的适用性。PepFoot 根据 LGPL 版本 3 许可证发布,可在 Windows、MacOS 和 Linux 系统上从 github.com/jbellamycarter/pepfoot 获得。

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