A Spectral Clustering Approach to MS/MS Identification of Post-Translational Modifications
A Spectral Clustering Approach to MS/MS Identification of Post-Translational Modifications
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DOI：
10.1021/pr800226w
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发表时间：
2008-11-01
影响因子：
4.4
通讯作者：
Andrews, Philip C.
中科院分区：
文献类型：
--
作者：
Falkner, Jayson A.;Falkner, Jarret W.;Andrews, Philip C.
未鉴定的串联质谱通常代表蛋白质组学研究中获得的光谱的50-90%。这份手稿描述了一种新的算法，“Bonanza”，聚类谱肽或蛋白质鉴定的知识。进一步的分析利用现有的肽鉴定来推断相关的、可能有效的鉴定。使用这种方法可以识别出更多的光谱，包括具有意想不到的潜在修饰或氨基酸取代的光谱。
Unidentified tandem mass spectra typically represent 50-90% of the spectra acquired in proteomics studies. This manuscript describes a novel algorithm, "Bonanza", for clustering spectra without knowledge of peptide or protein identifications. Further analysis leverages existing peptide identifications to infer related, likely valid identifications. Significantly more spectra can be identified with this approach, including spectra with unexpected potential modifications or amino-acid substitutions.