DAPPLE is a homology-based method for predicting phosphorylation sites in an organism of interest. It uses BLAST searches of experimentally-determined phosphorylation sites in one organism (or several organisms) to predict phosphorylation sites in an organism of interest. It outputs a table containing information helpful for choosing phosphorylation sites that are of interest to you, such as the number of sequence differences between the query site and the hit site, the location of the query site and the hit site in their respective intact proteins, and whether the corresponding intact proteins are reciprocal BLAST hits (and thus predicted orthologues).
Bioinformatics Research Group, University of Saskatchewan
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DAPPLE 2: a tool for the homology-based prediction of post-translational modification sites.
Trost B, Maleki F, Kusalik A, Napper S.
J Proteome Res. 2016 Jul 1.
Bioinformatics. 2013 Jul 1;29(13):1693-5. doi: 10.1093/bioinformatics/btt265. Epub 2013 May 8.
DAPPLE: a pipeline for the homology-based prediction of phosphorylation sites.
Trost B, Arsenault R, Griebel P, Napper S, Kusalik A.