Phos3D: Phosphorylation site prediction from spatial context

Phos3D is a web server for the prediction of phosphorylation sites (P-sites) in proteins. The approach is based on Support Vector Machines trained on sequence profiles enhanced by information from the spatial context of experimentally identified P-sites. In addition to serine, threonine, and tyrosine P-sites, Phos3D is capable to predict kinase-specific phosphorylations by the serine kinases PKA, PKC, MAPK, and CKII, as well as by the tyrosine kinase SRC. The quality of predictions is greatly dependent on the quality of submitted protein structures. Erroneous or incomplete protein structures may lead to inaccurate predictions.

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Please cite the following reference if you use Phos3D for your work.
Pawel Durek, Christian Schudoma, Wolfram Weckwerth, Joachim Selbig, and Dirk Walther
Detection and characterization of 3D-signature phosphorylation site motifs and their contribution towards improved phosphorylation site prediction.

BMC Bioinformatics 2009, 10:117  doi:10.1186/1471-2105-10-117