Literature DB >> 23875887

A peptide-spectrum scoring system based on ion alignment, intensity, and pair probabilities.

Brian A Risk1, Nathan J Edwards, Morgan C Giddings.   

Abstract

Peppy, the proteogenomic/proteomic search software, employs a novel method for assessing the match quality between an MS/MS spectrum and a theorized peptide sequence. The scoring system uses three score factors calculated with binomial probabilities: the probability that a fragment ion will randomly align with a peptide ion, the probability that the aligning ions will be selected from subsets of the most intense peaks, and the probability that the intensities of fragment ions identified as y-ions are greater than those of their counterpart b-ions. The scores produced by the method act as global confidence scores, which facilitate the accurate comparison of results and the estimation of false discovery rates. Peppy has been integrated into the meta-search engine PepArML to produce meaningful comparisons with Mascot, MSGF+, OMSSA, X!Tandem, k-Score and s-Score. For two of the four data sets examined with the PepArML analysis, Peppy exceeded the accuracy performance of the other scoring systems. Peppy is available for download at http://geneffects.com/peppy .

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Year:  2013        PMID: 23875887      PMCID: PMC4117239          DOI: 10.1021/pr400286p

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  18 in total

1.  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

2.  TANDEM: matching proteins with tandem mass spectra.

Authors:  Robertson Craig; Ronald C Beavis
Journal:  Bioinformatics       Date:  2004-02-19       Impact factor: 6.937

3.  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

4.  MASPIC: intensity-based tandem mass spectrometry scoring scheme that improves peptide identification at high confidence.

Authors:  Chandrasegaran Narasimhan; David L Tabb; Nathan C Verberkmoes; Melissa R Thompson; Robert L Hettich; Edward C Uberbacher
Journal:  Anal Chem       Date:  2005-12-01       Impact factor: 6.986

5.  MyriMatch: highly accurate tandem mass spectral peptide identification by multivariate hypergeometric analysis.

Authors:  David L Tabb; Christopher G Fernando; Matthew C Chambers
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

6.  A probability-based approach for high-throughput protein phosphorylation analysis and site localization.

Authors:  Sean A Beausoleil; Judit Villén; Scott A Gerber; John Rush; Steven P Gygi
Journal:  Nat Biotechnol       Date:  2006-09-10       Impact factor: 54.908

Review 7.  Assigning significance to peptides identified by tandem mass spectrometry using decoy databases.

Authors:  Lukas Käll; John D Storey; Michael J MacCoss; William Stafford Noble
Journal:  J Proteome Res       Date:  2007-12-08       Impact factor: 4.466

8.  MassMatrix: a database search program for rapid characterization of proteins and peptides from tandem mass spectrometry data.

Authors:  Hua Xu; Michael A Freitas
Journal:  Proteomics       Date:  2009-03       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.  An integrated encyclopedia of DNA elements in the human genome.

Authors: 
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

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2.  Peppy: proteogenomic search software.

Authors:  Brian A Risk; Wendy J Spitzer; Morgan C Giddings
Journal:  J Proteome Res       Date:  2013-05-06       Impact factor: 4.466

3.  MS-GF+ makes progress towards a universal database search tool for proteomics.

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Journal:  Nat Commun       Date:  2014-10-31       Impact factor: 14.919

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Journal:  PLoS One       Date:  2017-08-08       Impact factor: 3.240

5.  TIDD: tool-independent and data-dependent machine learning for peptide identification.

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Journal:  BMC Bioinformatics       Date:  2022-03-30       Impact factor: 3.169

6.  Annotating N termini for the human proteome project: N termini and Nα-acetylation status differentiate stable cleaved protein species from degradation remnants in the human erythrocyte proteome.

Authors:  Philipp F Lange; Pitter F Huesgen; Karen Nguyen; Christopher M Overall
Journal:  J Proteome Res       Date:  2014-03-10       Impact factor: 4.466

7.  Ubiquitinated proteins in exosomes secreted by myeloid-derived suppressor cells.

Authors:  Meghan C Burke; Maria S Oei; Nathan J Edwards; Suzanne Ostrand-Rosenberg; Catherine Fenselau
Journal:  J Proteome Res       Date:  2014-10-29       Impact factor: 4.466

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