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Phosphoproteomics toolbox: computational biology, protein chemistry and mass spectrometry
Authors:Hjerrild Majbrit  Gammeltoft Steen
Affiliation:Department of Clinical Biochemistry, Glostrup Hospital, Nordre Ringvej, DK-2600 Glostrup, Denmark. mh@dcb-glostrup.dk
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.
Keywords:ANN, artificial neural network   ESI, electrospray ionization   GPS, group-based phosphorylation site predicting and scoring platform   HPLC, high performance liquid chromatography   HPRD, human protein reference database   IMAC, immobilized metal affinity chromatography   LC-MS/MS, liquid chromatography tandem mass spectrometry   MALDI-TOF, matrix-assisted laser desorption ionization time-of-flight   PTM, post-translational modification   QTOF, quadrupole time-of-flight   SDS-PAGE, sodium dodecyl sulphate-polyacrylamide gel electrophoresis   SILAC, stable isotope labelling by amino acid in cell culture   siRNA, small interfering RNA   SVM, support vector machine
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