Literature DB >> 16194101

Prediction of low-energy collision-induced dissociation spectra of peptides with three or more charges.

Zhongqi Zhang1.   

Abstract

A kinetic model, based on the "mobile proton" model of peptide fragmentation, has been reported previously for quantitative prediction of low-energy collision-induced dissociation (CID) spectra of singly or doubly charged peptides. For peptides with three or more charges, however, the simulation process is complex and time-consuming. This paper describes a simplified model for quantitative prediction of CID spectra of peptide ions with three or more charges. Improvements on other aspects of the model were also made to accommodate large peptides. The performance of the simplified model was evaluated by generating predictions for many known highly charged peptides that were not included in the training data set. It was shown that the model is able to predict peptide CID spectra with reasonable accuracy in fragment ion intensities for highly charged peptide ions up to 5000 u in mass.

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Year:  2005        PMID: 16194101     DOI: 10.1021/ac050857k

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  43 in total

1.  Formation of y + 10 and y + 11 ions in the collision-induced dissociation of peptide ions.

Authors:  Lisa E Kilpatrick; Pedatsur Neta; Xiaoyu Yang; Yamil Simón-Manso; Yuxue Liang; Stephen E Stein
Journal:  J Am Soc Mass Spectrom       Date:  2011-12-08       Impact factor: 3.109

2.  Tryptic y(++) fragment ion distributions are guided by Coulombic repulsion.

Authors:  Karl K Irikura; John K Merle; Yamil Simón-Manso
Journal:  J Am Soc Mass Spectrom       Date:  2011-12-20       Impact factor: 3.109

3.  Dissociation channel dependence on peptide size observed in electron capture dissociation of tryptic peptides.

Authors:  Guillaume van der Rest; Renjie Hui; Gilles Frison; Julia Chamot-Rooke
Journal:  J Am Soc Mass Spectrom       Date:  2011-06-04       Impact factor: 3.109

4.  Automated precursor ion exclusion during LC-MS/MS data acquisition for optimal ion identification.

Authors:  Zhongqi Zhang
Journal:  J Am Soc Mass Spectrom       Date:  2012-06-06       Impact factor: 3.109

5.  Peptide conformation in gas phase probed by collision-induced dissociation and its correlation to conformation in condensed phases.

Authors:  Zhongqi Zhang; Joseph Bordas-Nagy
Journal:  J Am Soc Mass Spectrom       Date:  2006-04-03       Impact factor: 3.109

6.  Evaluation of the influence of amino acid composition on the propensity for collision-induced dissociation of model peptides using molecular dynamics simulations.

Authors:  William R Cannon; Danny Taasevigen; Douglas J Baxter; Julia Laskin
Journal:  J Am Soc Mass Spectrom       Date:  2007-06-20       Impact factor: 3.109

Review 7.  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

8.  A simulated MS/MS library for spectrum-to-spectrum searching in large scale identification of proteins.

Authors:  Chia-Yu Yen; Karen Meyer-Arendt; Brian Eichelberger; Shaojun Sun; Stephane Houel; William M Old; Rob Knight; Natalie G Ahn; Lawrence E Hunter; Katheryn A Resing
Journal:  Mol Cell Proteomics       Date:  2008-12-22       Impact factor: 5.911

Review 9.  Peptide identification by tandem mass spectrometry with alternate fragmentation modes.

Authors:  Adrian Guthals; Nuno Bandeira
Journal:  Mol Cell Proteomics       Date:  2012-05-17       Impact factor: 5.911

10.  MS2PIP: a tool for MS/MS peak intensity prediction.

Authors:  Sven Degroeve; Lennart Martens
Journal:  Bioinformatics       Date:  2013-09-27       Impact factor: 6.937

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