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Wiley, Proteomics, 5-6(15), p. 950-963, 2015

DOI: 10.1002/pmic.201400372

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Computational phosphoproteomics: From identification to localization

Journal article published in 2015 by Dave C. H. Lee, Andrew R. Jones, Simon J. Hubbard
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Analysis of the phosphoproteome by mass spectrometry has become a key technology for the characterisation of dynamic regulatory processes in the cell, since kinase and phosphatase action underlie many major biological functions. However, the addition of a phosphate group to a suitable sidechain often confounds informatic analysis by generating product ion spectra that are more difficult to interpret (and consequently identify) relative to unmodified peptides. Collectively, these challenges have motivated bioinformaticians to create novel software tools and pipelines to assist in the identification of phosphopeptides in proteomic mixtures, and help pinpoint or 'localise' the most likely site of modification in cases where there is ambiguity. Here we review the challenges to be met and the informatics solutions available to address them for phosphoproteomic analysis, as well as highlighting the difficulties associated with using them and the implications for data standards. This article is protected by copyright. All rights reserved.