Literature DB >> 15911534

New data base-independent, sequence tag-based scoring of peptide MS/MS data validates Mowse scores, recovers below threshold data, singles out modified peptides, and assesses the quality of MS/MS techniques.

Mikhail M Savitski1, Michael L Nielsen, Roman A Zubarev.   

Abstract

The Mascot score (M-score) is one of the conventional validity measures in data base identification of peptides and proteins by MS/MS data. Although tremendously useful, M-score has a number of limitations. For the same MS/MS data, M-score may change if the protein data base is expanded. A low M-value may not necessarily mean poor match but rather poor MS/MS quality. In addition M-score does not fully utilize the advantage of combined use of complementary fragmentation techniques collisionally activated dissociation (CAD) and electron capture dissociation (ECD). To address these issues, a new data base-independent scoring method (S-score) was designed that is based on the maximum length of the peptide sequence tag provided by the combined CAD and ECD data. The quality of MS/MS spectra assessed by S-score allows poor data (39% of all MS/MS spectra) to be filtered out before the data base search, speeding up the data analysis and eliminating a major source of false positive identifications. Spectra with below threshold M-scores (poor matches) but high S-scores are validated. Spectra with zero M-score (no data base match) but high S-score are classified as belonging to modified sequences. As an extension of S-score, an extremely reliable sequence tag was developed based on complementary fragments simultaneously appearing in CAD and ECD spectra. Comparison of this tag with the data base-derived sequence gives the most reliable peptide identification validation to date. The combined use of M- and S-scoring provides positive sequence identification from >25% of all MS/MS data, a 40% improvement over traditional M-scoring performed on the same Fourier transform MS instrumentation. The number of proteins reliably identified from Escherichia coli cell lysate hereby increased by 29% compared with the traditional M-score approach. Finally S-scoring provides a quantitative measure of the quality of fragmentation techniques such as the minimum abundance of the precursor ion, the MS/MS of which gives the threshold S-score value of 2.

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Year:  2005        PMID: 15911534     DOI: 10.1074/mcp.T500009-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  27 in total

1.  De novo peptide sequencing and identification with precision mass spectrometry.

Authors:  Ari M Frank; Mikhail M Savitski; Michael L Nielsen; Roman A Zubarev; Pavel A Pevzner
Journal:  J Proteome Res       Date:  2007-01       Impact factor: 4.466

2.  Protein identification by spectral networks analysis.

Authors:  Nuno Bandeira; Dekel Tsur; Ari Frank; Pavel A Pevzner
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-02       Impact factor: 11.205

Review 3.  Accurate mass measurements in proteomics.

Authors:  Tao Liu; Mikhail E Belov; Navdeep Jaitly; Wei-Jun Qian; Richard D Smith
Journal:  Chem Rev       Date:  2007-07-25       Impact factor: 60.622

4.  Rapid validation of Mascot search results via stable isotope labeling, pair picking, and deconvolution of fragmentation patterns.

Authors:  Samuel L Volchenboum; Kolbrun Kristjansdottir; Donald Wolfgeher; Stephen J Kron
Journal:  Mol Cell Proteomics       Date:  2009-05-11       Impact factor: 5.911

5.  Bifurcating fragmentation behavior of gas-phase tryptic peptide dications in collisional activation.

Authors:  Mikhail M Savitski; Maria Fälth; Y M Eva Fung; Christopher M Adams; Roman A Zubarev
Journal:  J Am Soc Mass Spectrom       Date:  2008-08-09       Impact factor: 3.109

6.  Electron capture/transfer versus collisionally activated/induced dissociations: solo or duet?

Authors:  Roman A Zubarev; Alexander R Zubarev; Mikhail M Savitski
Journal:  J Am Soc Mass Spectrom       Date:  2008-03-28       Impact factor: 3.109

7.  Separating the wheat from the chaff: unbiased filtering of background tandem mass spectra improves protein identification.

Authors:  Magno Junqueira; Victor Spirin; Tiago Santana Balbuena; Patrice Waridel; Vineeth Surendranath; Grigoriy Kryukov; Ivan Adzhubei; Henrik Thomas; Shamil Sunyaev; Andrej Shevchenko
Journal:  J Proteome Res       Date:  2008-06-18       Impact factor: 4.466

8.  Electron-capture dissociation (ECD), collision-induced dissociation (CID) and ECD/CID in a linear radio-frequency-free magnetic cell.

Authors:  Valery G Voinov; Joseph S Beckman; Max L Deinzer; Douglas F Barofsky
Journal:  Rapid Commun Mass Spectrom       Date:  2009-09       Impact factor: 2.419

9.  Study of peptide fingerprints of parasite proteins and drug-DNA interactions with Markov-Mean-Energy invariants of biopolymer molecular-dynamic lattice networks.

Authors:  Lázaro Guillermo Pérez-Montoto; María Auxiliadora Dea-Ayuela; Francisco J Prado-Prado; Francisco Bolas-Fernández; Florencio M Ubeira; Humberto González-Díaz
Journal:  Polymer (Guildf)       Date:  2009-06-03       Impact factor: 4.430

10.  Systematic characterization of high mass accuracy influence on false discovery and probability scoring in peptide mass fingerprinting.

Authors:  Eric D Dodds; Brian H Clowers; Paul J Hagerman; Carlito B Lebrilla
Journal:  Anal Biochem       Date:  2007-10-11       Impact factor: 3.365

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