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Phosphoproteomics toolbox: Computational biology, protein chemistry and mass spectrometry
Author(s) -
Hjerrild Majbrit,
Gammeltoft Steen
Publication year - 2006
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/j.febslet.2006.07.068
Subject(s) - phosphoproteomics , proteomics , phosphorylation , protein phosphorylation , computational biology , mass spectrometry , identification (biology) , chemistry , posttranslational modification , toolbox , systems biology , biology , biochemistry , protein kinase a , computer science , chromatography , botany , programming language , gene , enzyme
Protein phosphorylation is important for regulation of most biological functions and up to 50% of all proteins are thought to be modified by protein kinases. Increased knowledge about potential phosphorylation of a protein may increase our understanding of the molecular processes in which it takes part. Despite the importance of protein phosphorylation, identification of phosphoproteins and localization of phosphorylation sites is still a major challenge in proteomics. However, high‐throughput methods for identification of phosphoproteins are being developed, in particular within the fields of bioinformatics and mass spectrometry. In this review, we present a toolbox of current technology applied in phosphoproteomics including computational prediction, chemical approaches and mass spectrometry‐based analysis, and propose an integrated strategy for experimental phosphoproteomics.