Literature DB >> 26819872

Peptide Peak Detection for Low Resolution MALDI-TOF Mass Spectrometry.

Jingwen Yao1, Shin-Ichi Utsunomiya1, Shigeki Kajihara1, Tsuyoshi Tabata2, Ken Aoshima2, Yoshiya Oda2, Koichi Tanaka1.   

Abstract

A new peak detection method has been developed for rapid selection of peptide and its fragment ion peaks for protein identification using tandem mass spectrometry. The algorithm applies classification of peak intensities present in the defined mass range to determine the noise level. A threshold is then given to select ion peaks according to the determined noise level in each mass range. This algorithm was initially designed for the peak detection of low resolution peptide mass spectra, such as matrix-assisted laser desorption/ionization Time-of-Flight (MALDI-TOF) mass spectra. But it can also be applied to other type of mass spectra. This method has demonstrated obtaining a good rate of number of real ions to noises for even poorly fragmented peptide spectra. The effect of using peak lists generated from this method produces improved protein scores in database search results. The reliability of the protein identifications is increased by finding more peptide identifications. This software tool is freely available at the Mass++ home page (http://www.first-ms3d.jp/english/achievement/software/).

Keywords:  matrix-assisted laser desorption/ionization; peak detection; peptide identification; tandem mass spectrometry

Year:  2014        PMID: 26819872      PMCID: PMC4306743          DOI: 10.5702/massspectrometry.A0030

Source DB:  PubMed          Journal:  Mass Spectrom (Tokyo)        ISSN: 2186-5116


  23 in total

1.  A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry.

Authors:  T Chen; M Y Kao; M Tepel; J Rush; G M Church
Journal:  J Comput Biol       Date:  2001       Impact factor: 1.479

2.  A suboptimal algorithm for de novo peptide sequencing via tandem mass spectrometry.

Authors:  Bingwen Lu; Ting Chen
Journal:  J Comput Biol       Date:  2003       Impact factor: 1.479

3.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

Review 4.  Protein identification by mass spectrometry: issues to be considered.

Authors:  Michael A Baldwin
Journal:  Mol Cell Proteomics       Date:  2003-11-06       Impact factor: 5.911

Review 5.  Automated protein identification by tandem mass spectrometry: issues and strategies.

Authors:  Patricia Hernandez; Markus Müller; Ron D Appel
Journal:  Mass Spectrom Rev       Date:  2006 Mar-Apr       Impact factor: 10.946

6.  Mass++: A Visualization and Analysis Tool for Mass Spectrometry.

Authors:  Satoshi Tanaka; Yuichiro Fujita; Howell E Parry; Akiyasu C Yoshizawa; Kentaro Morimoto; Masaki Murase; Yoshihiro Yamada; Jingwen Yao; Shin-Ichi Utsunomiya; Shigeki Kajihara; Mitsuru Fukuda; Masayuki Ikawa; Tsuyoshi Tabata; Kentaro Takahashi; Ken Aoshima; Yoshito Nihei; Takaaki Nishioka; Yoshiya Oda; Koichi Tanaka
Journal:  J Proteome Res       Date:  2014-07-07       Impact factor: 4.466

7.  Bayesian Peptide Peak Detection for High Resolution TOF Mass Spectrometry.

Authors:  Jianqiu Zhang; Xiaobo Zhou; Honghui Wang; Anthony Suffredini; Lin Zhang; Yufei Huang; Stephen Wong
Journal:  IEEE Trans Signal Process       Date:  2010-11-01       Impact factor: 4.931

8.  Review of peak detection algorithms in liquid-chromatography-mass spectrometry.

Authors:  Jianqiu Zhang; Elias Gonzalez; Travis Hestilow; William Haskins; Yufei Huang
Journal:  Curr Genomics       Date:  2009-09       Impact factor: 2.236

Review 9.  Computational and statistical analysis of protein mass spectrometry data.

Authors:  William Stafford Noble; Michael J MacCoss
Journal:  PLoS Comput Biol       Date:  2012-01-26       Impact factor: 4.475

10.  Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis.

Authors:  Chao Yang; Zengyou He; Weichuan Yu
Journal:  BMC Bioinformatics       Date:  2009-01-06       Impact factor: 3.169

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