SLoMo: Automated Site Localization of Modifications from ETD/ECD Mass Spectra

被引：75

作者：

Bailey, Christopher M. ^{[1
]}

Sweet, Steve M. M. ^{[1
]}

Cunningham, Debbie L. ^{[1
]}

Zeller, Martin ^{[2
]}

Heath, John K. ^{[1
]}

Cooper, Helen J. ^{[1
]}

机构：

[1] Univ Birmingham, Sch Biosci, Birmingham B15 2TT, W Midlands, England

[2] Thermo Fisher Sci, D-28199 Bremen, Germany

来源：

JOURNAL OF PROTEOME RESEARCH | 2009年 / 8卷 / 04期

基金：

英国惠康基金;

关键词：

phosphorylation; phosphopeptide; phosphoproteomics; site localization; Ascore; mass spectrometry; post-translational modifications; bioinformatics; ELECTRON-CAPTURE DISSOCIATION; IN-VIVO; PHOSPHORYLATION; SPECTROMETRY; PEPTIDES;

D O I：

10.1021/pr800917p

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Recently, software has become available to automate localization of phosphorylation sites from CID data and to assign associated confidence scores. We present an algorithm, SLoMo (Site Localization of Modifications), which extends this capability to ETD/ECD mass spectra. Furthermore, SLoMo caters for both high and low resolution data and allows for site-localization of any UniMod post-translational modification. SLoMo accepts input data from a variety of formats (e.g., Sequest, OMSSA). We validate SLoMo with high and low resolution ETD, ECD, and CID data.

引用

页码：1965 / 1971

页数：7

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