• Methods Mol. Biol. · Jan 2017

    Review

    Databases and Computational Tools for Evolutionary Analysis of Protein Phosphorylation.

    • Chris Soon Heng Tan.
    • Institute of Molecular and Cell Biology (IMCB), A*STAR (Agency for Science, Technology and Research), Singapore, 138673, Singapore. cshtan@imcb.a-star.edu.sg.
    • Methods Mol. Biol. 2017 Jan 1; 1636: 475-484.

    AbstractAdvancements in MS-based phospho-proteomics techniques have helped uncover hundred thousands of protein phosphorylation sites in human and various model organisms. The majority of these sites are uncharacterized. The sheer number of uncharacterized sites necessitates systematic approaches to prioritize sites for more in-depth annotation. Analyzing the phosphorylation and sequence conservation of uncharacterized sites across species can help reveal a subset of the functionally important phosphorylation events. Here, we outline the workflow and provide an overview of publicly available computational resources for conservation analysis of novel phosphorylation sites.

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