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

PROTEOMICS ◽  
2009 ◽  
Vol 9 (7) ◽  
pp. 1763-1770 ◽  
Author(s):  
Hua Xu ◽  
Liwen Wang ◽  
Larry Sallans ◽  
Michael A. Freitas
SciVee ◽  
2011 ◽  
Author(s):  
Kyowon Jeong ◽  
Sangtae Kim ◽  
Nuno Bandeira ◽  
Pavel Pevzner

2010 ◽  
Vol 9 (12) ◽  
pp. 2772-2782 ◽  
Author(s):  
Xiaowen Liu ◽  
Yuval Inbar ◽  
Pieter C. Dorrestein ◽  
Colin Wynne ◽  
Nathan Edwards ◽  
...  

2011 ◽  
Vol 10 (12) ◽  
pp. M111.010017 ◽  
Author(s):  
Jian Wang ◽  
Philip E. Bourne ◽  
Nuno Bandeira

2010 ◽  
Vol 9 (12) ◽  
pp. 2840-2852 ◽  
Author(s):  
Sangtae Kim ◽  
Nikolai Mischerikow ◽  
Nuno Bandeira ◽  
J. Daniel Navarro ◽  
Louis Wich ◽  
...  

2013 ◽  
Vol 12 (8) ◽  
pp. 3652-3666 ◽  
Author(s):  
Kevin Brown Chandler ◽  
Petr Pompach ◽  
Radoslav Goldman ◽  
Nathan Edwards

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Rovshan G. Sadygov

Phosphoproteomics is a powerful analytical platform for identification and quantification of phosphorylated peptides and assignment of phosphorylation sites. Bioinformatics tools to identify phosphorylated peptides from their tandem mass spectra and protein sequence databases are important part of phosphoproteomics. In this work, we discuss general informatics aspects of mass-spectrometry-based phosphoproteomics. Some of the specifics of phosphopeptide identifications stem from the labile nature of phosphor groups and expanded peptide search space. Allowing for modifications of Ser, Thr, and Tyr residues exponentially increases effective database size. High mass resolution and accuracy measurements of precursor mass-to-charge ratios help to restrict the search space of candidate peptide sequences. The higher-order fragmentations of neutral loss ions enhance the fragment ion mass spectra of phosphorylated peptides. We show an example of a phosphopeptide identification where accounting for fragmentation from neutral loss species improves the identification scores in a database search algorithm by 50%.


2017 ◽  
Vol 17 (1) ◽  
pp. 290-295 ◽  
Author(s):  
Sebastian Dorl ◽  
Stephan Winkler ◽  
Karl Mechtler ◽  
Viktoria Dorfer

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