Literature DB >> 16401513

Bioinformatic methods to exploit mass spectrometric data for proteomic applications.

Robert J Chalkley1, Kirk C Hansen, Michael A Baldwin.   

Abstract

The new technologies in mass spectrometric analysis of peptides and proteins necessary to accommodate proteomics-scale analyses require, in turn, concomitant development of informatics technologies suitable for very large-scale data handling and analysis. This chapter focuses on the data analysis tools available to the community for analysis of mass spectrometric proteomics data. Different database searching strategies are discussed for peptide and protein identification, and approaches and tools available for comparative quantitative analysis of samples are outlined.

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Year:  2005        PMID: 16401513     DOI: 10.1016/S0076-6879(05)02009-4

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  18 in total

1.  The induction of serine/threonine protein phosphorylations by a PDGFR/TrkA chimera in stably transfected PC12 cells.

Authors:  Jordane Biarc; Robert J Chalkley; A L Burlingame; Ralph A Bradshaw
Journal:  Mol Cell Proteomics       Date:  2011-10-25       Impact factor: 5.911

2.  The effect of Tween80 on signal intensity of intact proteins by MALDI time-of-flight mass spectrometry.

Authors:  Craig S Brinkworth; David J Bourne
Journal:  J Am Soc Mass Spectrom       Date:  2006-10-13       Impact factor: 3.109

Review 3.  Proteomic discovery of diabetic nephropathy biomarkers.

Authors:  Michael L Merchant; Jon B Klein
Journal:  Adv Chronic Kidney Dis       Date:  2010-11       Impact factor: 3.620

Review 4.  Mass spectrometry in chronic kidney disease research.

Authors:  Michael L Merchant
Journal:  Adv Chronic Kidney Dis       Date:  2010-11       Impact factor: 3.620

5.  A two-step probing method to compare lysine accessibility across macromolecular complex conformations.

Authors:  Andrew J MacRae; Patricia Coltri; Eva Hrabeta-Robinson; Robert J Chalkley; A L Burlingame; Melissa S Jurica
Journal:  RNA Biol       Date:  2019-06-29       Impact factor: 4.652

6.  (19)F NMR reveals multiple conformations at the dimer interface of the nonstructural protein 1 effector domain from influenza A virus.

Authors:  James M Aramini; Keith Hamilton; Li-Chung Ma; G V T Swapna; Paul G Leonard; John E Ladbury; Robert M Krug; Gaetano T Montelione
Journal:  Structure       Date:  2014-02-27       Impact factor: 5.006

7.  Dissecting the roles of tyrosines 490 and 785 of TrkA protein in the induction of downstream protein phosphorylation using chimeric receptors.

Authors:  Jordane Biarc; Robert J Chalkley; A L Burlingame; Ralph A Bradshaw
Journal:  J Biol Chem       Date:  2013-04-15       Impact factor: 5.157

8.  Misidentification of nitrated peptides: comments on Hong, S.J., Gokulrangan, G., Schöneich, C., 2007. Proteomic analysis of age-dependent nitration of rat cardiac proteins by solution isoelectric focusing coupled to nanoHPLC tandem mass spectrometry. Exp. Gerontol. 42, 639-651.

Authors:  Laszlo Prokai
Journal:  Exp Gerontol       Date:  2009-03-11       Impact factor: 4.032

9.  Adaptive discriminant function analysis and reranking of MS/MS database search results for improved peptide identification in shotgun proteomics.

Authors:  Ying Ding; Hyungwon Choi; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2008-09-13       Impact factor: 4.466

10.  Structure and location of the regulatory β subunits in the (αβγδ)4 phosphorylase kinase complex.

Authors:  Owen W Nadeau; Laura A Lane; Dong Xu; Jessica Sage; Timothy S Priddy; Antonio Artigues; Maria T Villar; Qing Yang; Carol V Robinson; Yang Zhang; Gerald M Carlson
Journal:  J Biol Chem       Date:  2012-09-11       Impact factor: 5.157

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