QuickMod: A Tool for Open Modification Spectrum Library Searches

被引:45
作者
Ahrne, Erik [1 ]
Nikitin, Frederic [1 ]
Lisacek, Frederique [1 ]
Mueller, Markus [1 ]
机构
[1] Swiss Inst Bioinformat, Proteome Informat Grp, Geneva, Switzerland
关键词
proteomics; MS2; peptide identification; spectral library search; PTM; spectrum match score; TANDEM MASS-SPECTROMETRY; PROTEIN IDENTIFICATION; VALIDATION; PEPTIDES;
D O I
10.1021/pr200152g
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
MS2 library spectra are rich in reproducible information about peptide fragmentation patterns compared to theoretical spectra modeled by a sequence search tool. So far, spectrum library searches are mostly applied to detect peptides as they are present in the library. However, they also allow finding modified variants of the library peptides if the search is done with a large precursor mass window and an adapted Spectrum-Spectrum Match (SSM) scoring algorithm. We perform a thorough evaluation on the use of library spectra as opposed to theoretical peptide spectra for the identification of PTMs, analyzing spectra of a well annotated modification-rich test data set compiled from public data repositories. These initial studies motivate the development of our modification tolerant spectrum library search tool QuickMod, designed to identify modified variants of the peptides listed in the spectrum library without any prior input from the user estimating the modifications present in the sample. We built the search algorithm of QuickMod after carefully testing different SSM similarity scores. The final spectrum scoring scheme uses a support vector machine (SVM) on a selection of scoring features to classify correct and incorrect SSM. After identification of a list of modified peptides at a given False Discovery Rate (FDR), the modifications need to be positioned on the peptide sequence. We present a rapid modification site assignment algorithm and evaluate its positioning accuracy. Finally, we demonstrate that QuickMod performs favorably in terms of speed and identification rate when compared to other software solutions for PTM analysis.
引用
收藏
页码:2913 / 2921
页数:9
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