hierarchical MS²/MS³ database search algorithm for automated analysis of phosphopeptide tandem mass spectra

A novel hierarchical MS²/MS³ database search algorithm has been developed to analyze MS²/MS³ phosphopeptides proteomic data. The algorithm is incorporated in an automated database search program, MassMatrix. The algorithm matches experimental MS² spectra against a supplied protein database to determ...

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Bibliographic Details
Published inProteomics (Weinheim) Vol. 9; no. 7; pp. 1763 - 1770
Main Authors Xu, Hua, Wang, Liwen, Sallans, Larry, Freitas, Michael A
Format Journal Article
LanguageEnglish
Published Weinheim Wiley-VCH Verlag 01.04.2009
WILEY‐VCH Verlag
Wiley-VCH
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ISSN1615-9853
1615-9861
1615-9861
DOI10.1002/pmic.200800282

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Summary:A novel hierarchical MS²/MS³ database search algorithm has been developed to analyze MS²/MS³ phosphopeptides proteomic data. The algorithm is incorporated in an automated database search program, MassMatrix. The algorithm matches experimental MS² spectra against a supplied protein database to determine candidate peptide matches. It then matches the corresponding experimental MS³ spectra against those candidate peptide matches. The MS² and MS³ spectra are used in concert to arrive at peptide matches with overall higher confidence rather than combining MS² and MS³ data searched separately. Receiver operating characteristic analysis showed that hierarchical MS²/MS³ database searches with MassMatrix had better sensitivity and specificity than the two-stage MS²/MS³ database searches obtained with MassMatrix, MASCOT, and X!Tandem. A greater number of true peptide matches at a given false rate were identified by use of this new algorithm for data collected on both LCQ and LTQ-FTICR mass spectrometers. The additional MS³ spectral data also improved the overall reliability and the number of true positives (TPs) due to the fact that the TPs of the MS²/MS³ search results had higher scores than those of the MS².
Bibliography:http://dx.doi.org/10.1002/pmic.200800282
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ISSN:1615-9853
1615-9861
1615-9861
DOI:10.1002/pmic.200800282