14-3-3-Pred is a webserver that predicts 14-3-3-binding sites by combining predictions from three different classifiers: ANN, PSSM and SVM. Proteins of interest can be queried using single UniProt accession identifiers or as sequences in FASTA format. A table with prediction scores as well as information on the phosphorylation state of the respective Ser/Thr is provided for each queried protein. Alternatively, a file containing up to 100 protein sequences in FASTA format can be uploaded. 14-3-3-Pred then generates comma/tab-separated output results files that can be easily used to further compare predictions, elaborate hypotheses, and prioritise laboratory experiments to validate the sites.
If you use the 14-3-3-Pred webserver please cite:
Madeira, F., Tinti, M., Murugesan, G., Berrett, E., Stafford, M., Toth, R., Cole, C., MacKintosh, C. and Barton, G.J. (2015) 14-3-3-Pred: Improved methods to predict 14-3-3-binding phosphopeptides. Bioinformatics, 2015 Mar 3, btv133. doi:10.1093/bioinformatics/btv133
Results can be accessed using single UniProt IDs ('pid=<identifier>') and specifying the output format ('out=<format>') as either JSON, CSV or TSV. An example query is http://www.compbio.dundee.ac.uk/1433pred/pid=O96013&out=json
We thank the Wellcome Trust for funding this project.
We thank the following resources/tools that are used by 14-3-3-Pred:
We also thank the following open source projects that are used in this webserver:
We finally thank Tom Walsh, Nick Schurch and Alexey Drozdetskiy for their help in setting up this website.