Literature DB >> 23504934

Proteomics and the analysis of proteomic data: 2013 overview of current protein-profiling technologies.

Can Bruce1, Kathryn Stone, Erol Gulcicek, Kenneth Williams.   

Abstract

Mass spectrometry has become a major tool in the study of proteomes. The analysis of proteolytic peptides and their fragment ions by this technique enables the identification and quantitation of the precursor proteins in a mixture. However, deducing chemical structures and then protein sequences from mass-to-charge ratios is a challenging computational task. Software tools incorporating powerful algorithms and statistical methods improved our ability to process the large quantities of proteomics data. Repositories of spectral data make both data analysis and experimental design more efficient. New approaches in quantitative and statistical proteomics make possible a greater coverage of the proteome, the identification of more post-translational modifications, and a greater sensitivity in the quantitation of targeted proteins.
© 2013 by John Wiley & Sons, Inc.

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Year:  2013        PMID: 23504934      PMCID: PMC3688054          DOI: 10.1002/0471250953.bi1321s41

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  116 in total

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Journal:  Methods Mol Biol       Date:  2011

3.  Quantitative mass spectrometry identifies insulin signaling targets in C. elegans.

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4.  GPS: a novel group-based phosphorylation predicting and scoring method.

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Journal:  Biochem Biophys Res Commun       Date:  2004-12-24       Impact factor: 3.575

5.  X!!Tandem, an improved method for running X!tandem in parallel on collections of commodity computers.

Authors:  Robert D Bjornson; Nicholas J Carriero; Christopher Colangelo; Mark Shifman; Kei-Hoi Cheung; Perry L Miller; Kenneth Williams
Journal:  J Proteome Res       Date:  2007-09-29       Impact factor: 4.466

6.  De novo sequencing methods in proteomics.

Authors:  Christopher Hughes; Bin Ma; Gilles A Lajoie
Journal:  Methods Mol Biol       Date:  2010

Review 7.  A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics.

Authors:  Alexey I Nesvizhskii
Journal:  J Proteomics       Date:  2010-09-08       Impact factor: 4.044

8.  MaRiMba: a software application for spectral library-based MRM transition list assembly.

Authors:  Carly A Sherwood; Ashley Eastham; Lik Wee Lee; Amelia Peterson; Jimmy K Eng; David Shteynberg; Luis Mendoza; Eric W Deutsch; Jenni Risler; Natalie Tasman; Ruedi Aebersold; Henry Lam; Daniel B Martin
Journal:  J Proteome Res       Date:  2009-10       Impact factor: 4.466

Review 9.  Mass spectrometry-based label-free quantitative proteomics.

Authors:  Wenhong Zhu; Jeffrey W Smith; Chun-Ming Huang
Journal:  J Biomed Biotechnol       Date:  2009-11-10

10.  KinasePhos 2.0: a web server for identifying protein kinase-specific phosphorylation sites based on sequences and coupling patterns.

Authors:  Yung-Hao Wong; Tzong-Yi Lee; Han-Kuen Liang; Chia-Mao Huang; Ting-Yuan Wang; Yi-Huan Yang; Chia-Huei Chu; Hsien-Da Huang; Ming-Tat Ko; Jenn-Kang Hwang
Journal:  Nucleic Acids Res       Date:  2007-05-21       Impact factor: 16.971

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  3 in total

1.  STRAP PTM: Software Tool for Rapid Annotation and Differential Comparison of Protein Post-Translational Modifications.

Authors:  Jean L Spencer; Vivek N Bhatia; Stephen A Whelan; Catherine E Costello; Mark E McComb
Journal:  Curr Protoc Bioinformatics       Date:  2013-12

Review 2.  Chemical Glycoproteomics.

Authors:  Krishnan K Palaniappan; Carolyn R Bertozzi
Journal:  Chem Rev       Date:  2016-11-18       Impact factor: 60.622

Review 3.  Detection and Characterization of Catechol Quinone-Derived Protein Adducts Using Biomolecular Mass Spectrometry.

Authors:  Shu-Hui Chen; Chun-Wei Li
Journal:  Front Chem       Date:  2019-08-21       Impact factor: 5.221

  3 in total

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