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开发用于寡糖片段化数据自动解读的质量指纹识别工具。

Development of a mass fingerprinting tool for automated interpretation of oligosaccharide fragmentation data.

作者信息

Joshi Hiren J, Harrison Mathew J, Schulz Benjamin L, Cooper Catherine A, Packer Nicolle H, Karlsson Niclas G

机构信息

Proteome Systems, Sydney, NSW, Australia.

出版信息

Proteomics. 2004 Jun;4(6):1650-64. doi: 10.1002/pmic.200300784.

Abstract

The bioinformatic tool GlycosidIQ was developed for computerized interpretation of oligosaccharide mass spectrometric fragmentation based on matching experimental data with theoretically fragmented oligosaccharides generated from the database GlycoSuiteDB. This use of the software for glycofragment mass fingerprinting obviates a large part of the manual, labor intensive, and technically challenging interpretation of oligosaccharide fragmentation. Using 130 negative ion electrospray ionization-tandem mass spectrometry fragment spectra from identified oligosaccharide structures, it was shown that the GlycosidIQ scoring algorithms were able to correctly identify oligosaccharides in the great majority of cases (correct structure top ranked in 78% of the cases and an additional 17% were ranked second highest in the sample set).

摘要

生物信息学工具GlycosidIQ是为基于将实验数据与从GlycoSuiteDB数据库生成的理论碎片化寡糖进行匹配,对寡糖质谱碎片化进行计算机化解释而开发的。该软件用于糖片段质量指纹识别,避免了寡糖碎片化解释中很大一部分人工、劳动密集且技术上具有挑战性的工作。使用来自已鉴定寡糖结构的130个负离子电喷雾电离串联质谱碎片谱,结果表明GlycosidIQ评分算法在绝大多数情况下能够正确识别寡糖(在78%的案例中正确结构排名第一,另外17%在样本集中排名第二)。

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