TopLib: Building and Searching Top-Down Mass Spectral Libraries for Proteoform Identification

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Kun Li, Haixu Tang and Xiaowen Liu*, 
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引用次数: 0

Abstract

Mass spectral library search is a widely used approach for spectral identification in mass spectrometry (MS)-based proteomics. While numerous methods exist for building and searching bottom-up mass spectral libraries, there is a lack of software tools for top-down mass spectral libraries. To fill the gap, we introduce TopLib, a new software package designed for building and searching top-down spectral libraries. TopLib utilizes an efficient spectral representation technique to reduce database size and improve query speed and performance. We systematically evaluated various spectral representation techniques and scoring functions for top-down spectral clustering and search. Our results demonstrate that TopLib is significantly faster and yields higher reproducibility in proteoform identification compared to conventional database search methods in top-down MS.

TopLib:构建和搜索自顶向下的质谱库用于蛋白质形态鉴定
质谱库搜索是基于质谱的蛋白质组学中广泛使用的光谱鉴定方法。虽然有许多方法可以构建和搜索自底向上的质谱库,但缺乏自顶向下的质谱库的软件工具。为了填补这一空白,我们引入了TopLib,一个用于构建和搜索自顶向下谱库的新软件包。TopLib利用高效的谱表示技术来减小数据库大小,提高查询速度和性能。我们系统地评估了各种光谱表示技术和评分函数,用于自上而下的光谱聚类和搜索。我们的研究结果表明,与自上而下的MS中传统的数据库搜索方法相比,TopLib在蛋白质形态鉴定方面速度更快,重现性更高。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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