|UbPred: predictor of protein ubiquitination sites|
|Usage instructions | Datasets|
UbPred is a random forest-based predictor of potential ubiquitination sites in proteins. It was trained on a combined set of 266 non-redundant experimentally verified ubiquitination sites available from our experiments and from two large-scale proteomics studies (Hitchcock, et al., 2003; Peng, et al., 2003). Class-balanced accuracy of UbPred reached 72%, whereas the AUC (area under the ROC curve) was estimated to be ~80%.
Supplementary information, usage instractions and more about the datasets can be found on the help page.
UbPred executable files are available for download:
Installation guide can be downloaded here.
Pre-computed ubiquitination predictions on the whole yeast proteome can be downloaded here.
In citing the UbPred software, please refer to:
Radivojac, P., Vacic, V., Haynes, C., Cocklin, R. R., Mohan, A., Heyen, J. W., Goebl, M. G., and Iakoucheva, L. M. Identification, Analysis and Prediction of Protein Ubiquitination Sites. Proteins: Structure, Function, and Bioinformatics. 78(2):365-380. (2010)