Literature DB >> 19899080

The effect of interfering ions on search algorithm performance for electron-transfer dissociation data.

David M Good1, Craig D Wenger, Joshua J Coon.   

Abstract

Collision-activated dissociation and electron-transfer dissociation (ETD) each produce spectra containing unique features. Though several database search algorithms (e.g. SEQUEST, MASCOT, and Open Mass Spectrometry Search Algorithm) have been modified to search ETD data, this consists chiefly of the ability to search for c- and z(*)-ions; additional ETD-specific features are often unaccounted for and may hinder identification. Removal of these features via spectral processing increased total search sensitivity by approximately 20% for both human and yeast data sets; unique peptide identifications increased by approximately 17% for the yeast data sets and approximately 16% for the human data set.

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Year:  2010        PMID: 19899080      PMCID: PMC2801774          DOI: 10.1002/pmic.200900570

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


  7 in total

1.  Probability-based protein identification by searching sequence databases using mass spectrometry data.

Authors:  D N Perkins; D J Pappin; D M Creasy; J S Cottrell
Journal:  Electrophoresis       Date:  1999-12       Impact factor: 3.535

2.  Open mass spectrometry search algorithm.

Authors:  Lewis Y Geer; Sanford P Markey; Jeffrey A Kowalak; Lukas Wagner; Ming Xu; Dawn M Maynard; Xiaoyu Yang; Wenyao Shi; Stephen H Bryant
Journal:  J Proteome Res       Date:  2004 Sep-Oct       Impact factor: 4.466

3.  Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry.

Authors:  Joshua E Elias; Steven P Gygi
Journal:  Nat Methods       Date:  2007-03       Impact factor: 28.547

4.  An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.

Authors:  J K Eng; A L McCormack; J R Yates
Journal:  J Am Soc Mass Spectrom       Date:  1994-11       Impact factor: 3.109

5.  A new probabilistic database search algorithm for ETD spectra.

Authors:  Rovshan G Sadygov; David M Good; Danielle L Swaney; Joshua J Coon
Journal:  J Proteome Res       Date:  2009-06       Impact factor: 4.466

6.  Decision tree-driven tandem mass spectrometry for shotgun proteomics.

Authors:  Danielle L Swaney; Graeme C McAlister; Joshua J Coon
Journal:  Nat Methods       Date:  2008-10-19       Impact factor: 28.547

7.  Post-acquisition ETD spectral processing for increased peptide identifications.

Authors:  David M Good; Craig D Wenger; Graeme C McAlister; Dina L Bai; Donald F Hunt; Joshua J Coon
Journal:  J Am Soc Mass Spectrom       Date:  2009-03-14       Impact factor: 3.109

  7 in total
  27 in total

1.  Sequence scrambling in shotgun proteomics is negligible.

Authors:  Anton A Goloborodko; Mikhail V Gorshkov; David M Good; Roman A Zubarev
Journal:  J Am Soc Mass Spectrom       Date:  2011-04-15       Impact factor: 3.109

2.  Accurate peptide fragment mass analysis: multiplexed peptide identification and quantification.

Authors:  Chad R Weisbrod; Jimmy K Eng; Michael R Hoopmann; Tahmina Baker; James E Bruce
Journal:  J Proteome Res       Date:  2012-02-21       Impact factor: 4.466

Review 3.  A face in the crowd: recognizing peptides through database search.

Authors:  Jimmy K Eng; Brian C Searle; Karl R Clauser; David L Tabb
Journal:  Mol Cell Proteomics       Date:  2011-08-29       Impact factor: 5.911

4.  Urine proteome analysis reflects atherosclerotic disease in an ApoE-/- mouse model and allows the discovery of new candidate biomarkers in mouse and human atherosclerosis.

Authors:  Constantin von zur Muhlen; Eric Schiffer; Christine Sackmann; Petra Zürbig; Irene Neudorfer; Andreas Zirlik; Nay Htun; Alexander Iphöfer; Lothar Jänsch; Harald Mischak; Christoph Bode; Yung C Chen; Karlheinz Peter
Journal:  Mol Cell Proteomics       Date:  2012-02-27       Impact factor: 5.911

5.  Full-Featured Search Algorithm for Negative Electron-Transfer Dissociation.

Authors:  Nicholas M Riley; Marshall Bern; Michael S Westphall; Joshua J Coon
Journal:  J Proteome Res       Date:  2016-07-22       Impact factor: 4.466

6.  ETD fragmentation features improve algorithm.

Authors:  Wenzhou Li; Vicki H Wysocki
Journal:  Expert Rev Proteomics       Date:  2012-06       Impact factor: 3.940

7.  Peptide Sequence Analysis by Electron Transfer Dissociation Mass Spectrometry: A Web-Based Tutorial.

Authors:  Donald F Hunt; Jeffrey Shabanowitz; Dina L Bai
Journal:  J Am Soc Mass Spectrom       Date:  2015-03-28       Impact factor: 3.109

Review 8.  Electron transfer dissociation mass spectrometry in proteomics.

Authors:  Min-Sik Kim; Akhilesh Pandey
Journal:  Proteomics       Date:  2012-01-23       Impact factor: 3.984

9.  A proteomics search algorithm specifically designed for high-resolution tandem mass spectra.

Authors:  Craig D Wenger; Joshua J Coon
Journal:  J Proteome Res       Date:  2013-01-31       Impact factor: 4.466

10.  Comprehensive mass spectrometric mapping of the hydroxylated amino acid residues of the α1(V) collagen chain.

Authors:  Chenxi Yang; Arick C Park; Nicholas A Davis; Jason D Russell; Byoungjae Kim; David D Brand; Matthew J Lawrence; Ying Ge; Michael S Westphall; Joshua J Coon; Daniel S Greenspan
Journal:  J Biol Chem       Date:  2012-10-11       Impact factor: 5.157

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