Literature DB >> 20013367

De novo sequencing methods in proteomics.

Christopher Hughes1, Bin Ma, Gilles A Lajoie.   

Abstract

The review describes methods of de novo sequencing of peptides by mass spectrometry. De novo methods utilize computational approaches to deduce the sequence or partial sequence of peptides directly from the experimental MS/MS spectra. The concepts behind a number of de novo sequencing methods are discussed. The other approach to identify peptides by tandem mass spectrometry is to match the fragment ions with virtual peptide ions generated from a genomic or protein database. De novo methods are essential to identify proteins when the genomes are not known but they are also extremely useful even when the genomes are known since they are not affected by errors in a search database. Another advantage of de novo methods is that the partial sequence can be used to search for posttranslation modifications or for the identification of mutations by homology based software.

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Year:  2010        PMID: 20013367     DOI: 10.1007/978-1-60761-444-9_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  15 in total

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Review 2.  Quantitative proteomic analysis of histone modifications.

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3.  Combinatorial Labeling Method for Improving Peptide Fragmentation in Mass Spectrometry.

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4.  A better scoring model for de novo peptide sequencing: the symmetric difference between explained and measured masses.

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Journal:  Algorithms Mol Biol       Date:  2017-05-11       Impact factor: 1.405

5.  Identification of alternative splice variants in Aspergillus flavus through comparison of multiple tandem MS search algorithms.

Authors:  Kung-Yen Chang; David C Muddiman
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6.  An empirical strategy for characterizing bacterial proteomes across species in the absence of genomic sequences.

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7.  The state of the human proteome in 2012 as viewed through PeptideAtlas.

Authors:  Terry Farrah; Eric W Deutsch; Michael R Hoopmann; Janice L Hallows; Zhi Sun; Chung-Ying Huang; Robert L Moritz
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Review 8.  Proteomics and the analysis of proteomic data: 2013 overview of current protein-profiling technologies.

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Journal:  Curr Protoc Bioinformatics       Date:  2013-03

9.  Automated assignments of N- and O-site specific glycosylation with extensive glycan heterogeneity of glycoprotein mixtures.

Authors:  John S Strum; Charles C Nwosu; Serenus Hua; Scott R Kronewitter; Richard R Seipert; Robert J Bachelor; Hyun Joo An; Carlito B Lebrilla
Journal:  Anal Chem       Date:  2013-05-24       Impact factor: 6.986

10.  Improved de novo peptide sequencing using LC retention time information.

Authors:  Yves Frank; Tomas Hruz; Thomas Tschager; Valentin Venzin
Journal:  Algorithms Mol Biol       Date:  2018-08-29       Impact factor: 1.405

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