Literature DB >> 17713966

Peptide fragment intensity statistical modeling.

Jacques Colinge1.   

Abstract

We present new statistical models of peptide fragment peak intensities that achieve unprecedented accuracy, and we discuss their application to the problem of scoring in database searching or peptide de novo sequencing. The models, made available via open-source computer programs, are very general and can potentially improve any intensity-based scoring.

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Year:  2007        PMID: 17713966     DOI: 10.1021/ac070488n

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


  5 in total

1.  Using ion mobility data to improve peptide identification: intrinsic amino acid size parameters.

Authors:  Stephen J Valentine; Michael A Ewing; Jonathan M Dilger; Matthew S Glover; Scott Geromanos; Chris Hughes; David E Clemmer
Journal:  J Proteome Res       Date:  2011-04-01       Impact factor: 4.466

2.  A ranking-based scoring function for peptide-spectrum matches.

Authors:  Ari M Frank
Journal:  J Proteome Res       Date:  2009-05       Impact factor: 4.466

3.  De novo sequencing of unique sequence tags for discovery of post-translational modifications of proteins.

Authors:  Yufeng Shen; Nikola Tolić; Kim K Hixson; Samuel O Purvine; Gordon A Anderson; Richard D Smith
Journal:  Anal Chem       Date:  2008-09-11       Impact factor: 6.986

4.  Predicting intensity ranks of peptide fragment ions.

Authors:  Ari M Frank
Journal:  J Proteome Res       Date:  2009-05       Impact factor: 4.466

5.  Proteomic characterization of an isolated fraction of synthetic proteasome inhibitor (PSI)-induced inclusions in PC12 cells might offer clues to aggresomes as a cellular defensive response against proteasome inhibition by PSI.

Authors:  Xing'an Li; Yingjiu Zhang; Peng Xie; Jinhua Piao; Yihong Hu; Ming Chang; Tao Liu; Linsen Hu
Journal:  BMC Neurosci       Date:  2010-08-12       Impact factor: 3.288

  5 in total

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