Literature DB >> 12422359

Error tolerant searching of uninterpreted tandem mass spectrometry data.

David M Creasy1, John S Cottrell.   

Abstract

An error tolerant mode for database matching of uninterpreted tandem mass spectrometry data is described. Selected database entries are searched without enzyme specificity, using a comprehensive list of chemical and post-translational modifications, together with a residue substitution matrix. The modifications are tested serially, to avoid the catastrophic loss of discrimination that would occur if all the permutations of large numbers of modifications in combination were possible. The new mode has been coded as an extension to the Mascot search engine, and tested against a number of Liquid chromatography-tandem mass spectrometry datasets. The results show a number of additional peptide matches, but require careful interpretation. The most significant limitation of this approach is that it can only reveal new matches to proteins that already have at least one significant peptide match.

Mesh:

Substances:

Year:  2002        PMID: 12422359     DOI: 10.1002/1615-9861(200210)2:10<1426::AID-PROT1426>3.0.CO;2-5

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  53 in total

1.  GutenTag: high-throughput sequence tagging via an empirically derived fragmentation model.

Authors:  David L Tabb; Anita Saraf; John R Yates
Journal:  Anal Chem       Date:  2003-12-01       Impact factor: 6.986

2.  Detecting low level sequence variants in recombinant monoclonal antibodies.

Authors:  Yi Yang; Alex Strahan; Charlene Li; Amy Shen; Hongbin Liu; Jun Ouyang; Viswanatham Katta; Kathleen Francissen; Boyan Zhang
Journal:  MAbs       Date:  2010-05-06       Impact factor: 5.857

Review 3.  Proteomic identification of carbonylated proteins and their oxidation sites.

Authors:  Ashraf G Madian; Fred E Regnier
Journal:  J Proteome Res       Date:  2010-08-06       Impact factor: 4.466

4.  Software Analysis of Uncorrelated MS1 Peaks for Discovery of Post-Translational Modifications.

Authors:  Bruce D Pascal; Graham M West; Catherina Scharager-Tapia; Ricardo Flefil; Tina Moroni; Pablo Martinez-Acedo; Patrick R Griffin; Anthony C Carvalloza
Journal:  J Am Soc Mass Spectrom       Date:  2015-08-12       Impact factor: 3.109

5.  Improving gene annotation using peptide mass spectrometry.

Authors:  Stephen Tanner; Zhouxin Shen; Julio Ng; Liliana Florea; Roderic Guigó; Steven P Briggs; Vineet Bafna
Journal:  Genome Res       Date:  2006-12-22       Impact factor: 9.043

6.  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

7.  Comment on "Unbiased statistical analysis for multi-stage proteomic search strategies".

Authors:  Marshall Bern; Yong J Kil
Journal:  J Proteome Res       Date:  2011-02-21       Impact factor: 4.466

8.  Spectral dictionaries: Integrating de novo peptide sequencing with database search of tandem mass spectra.

Authors:  Sangtae Kim; Nitin Gupta; Nuno Bandeira; Pavel A Pevzner
Journal:  Mol Cell Proteomics       Date:  2008-08-14       Impact factor: 5.911

9.  A method to enhance a1 ions and application for peptide sequencing and protein identification.

Authors:  Ning Liu; Wan Chan; Kim-Chung Lee; Zongwei Cai
Journal:  J Am Soc Mass Spectrom       Date:  2009-02-21       Impact factor: 3.109

10.  A novel approach for untargeted post-translational modification identification using integer linear optimization and tandem mass spectrometry.

Authors:  Richard C Baliban; Peter A DiMaggio; Mariana D Plazas-Mayorca; Nicolas L Young; Benjamin A Garcia; Christodoulos A Floudas
Journal:  Mol Cell Proteomics       Date:  2010-01-26       Impact factor: 5.911

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.