title: Phosphoproteomics toolbox: computational biology, protein chemistry and mass spectrometry.
abstract: 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.
authors.affiliation: Department of Clinical Biochemistry, Glostrup Hospital, Nordre Ringvej, DK-2600 Glostrup, Denmark. mh@dcb-glostrup.dk
authors.forename: Majbrit
authors.initials: M
authors.lastname: Hjerrild
authors.forename: Steen
authors.initials: S
authors.lastname: Gammeltoft
mesh_terms: D019295:Computational Biology / Q000379:methods; D016208:Databases, Factual; D006801:Humans; D020407:Internet; D013058:Mass Spectrometry / Q000379:methods; D010766:Phosphorylation; D011506:Proteins / Q000737:chemistry*; D020543:Proteome / Q000032:analysis; D040901:Proteomics / Q000379:methods
chemical_list: D011506:Proteins; D020543:Proteome