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...
Saved in:
| Published in | Proteomics (Weinheim) Vol. 9; no. 7; pp. 1763 - 1770 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Weinheim
Wiley-VCH Verlag
01.04.2009
WILEY‐VCH Verlag Wiley-VCH |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1615-9853 1615-9861 1615-9861 |
| DOI | 10.1002/pmic.200800282 |
Cover
| 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 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1615-9853 1615-9861 1615-9861 |
| DOI: | 10.1002/pmic.200800282 |