Proteo-SAFARI:在自上而下质谱/质谱中鉴定蛋白质片段离子的应用。

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2025-02-07 Epub Date: 2025-01-03 DOI:10.1021/acs.jproteome.4c00607
Michael B Lanzillotti, Sean D Dunham, Kyle J Juetten, Jennifer S Brodbelt
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引用次数: 0

摘要

Proteo-SAFARI是一个通过相对同位素进行片段分配的应用程序,是一个基于r的软件应用程序,用于直接在m/z结构域识别蛋白质片段离子。该程序提供了一个开源的,用户友好的应用程序,用于从候选蛋白质序列中鉴定片段离子,支持自定义共价修饰和鉴定片段的各种可视化。此外,Proteo-SAFARI还包括一种非负最小二乘拟合方法,以确定在UVPD质谱中观察到的具有重叠同位素分布的各种氢位移碎片离子(a + 1, x + 1, y - 1, y - 2)的贡献。为了显示其效用,Proteo-SAFARI被应用于各种完整蛋白质的MS/MS光谱,包括在y离子中表现出动态氢位移的蛋白质,泛素电荷还原到1+电荷状态的蛋白质,以及在全谱模式下记录的大蛋白质。Proteo-SAFARI可在:github.com/mblanzillotti/Proteo-SAFARI。
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Proteo-SAFARI: An R Application for Identification of Fragment Ions in Top-Down MS/MS Spectra of Proteins.

Proteo-SAFARI is a shiny application for fragment assignment by relative isotopes, an R-based software application designed for identification of protein fragment ions directly in the m/z domain. This program provides an open-source, user-friendly application for identification of fragment ions from a candidate protein sequence with support for custom covalent modifications and various visualizations of identified fragments. Additionally, Proteo-SAFARI includes a nonnegative least-squares fitting approach to determine the contributions of various hydrogen shifted fragment ions (a + 1, x + 1, y - 1, y - 2) observed in UVPD mass spectra which exhibit overlapping isotopic distributions. To show its utility, Proteo-SAFARI is applied to various MS/MS spectra of intact proteins, including proteins exhibiting dynamic hydrogen shifts in y ions, ubiquitin charge-reduced to the 1+ charge state, and a large protein recorded in full profile mode. Proteo-SAFARI is available at: github.com/mblanzillotti/Proteo-SAFARI.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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