Identification, Analysis and Prediction of Protein Ubiquitination Sites
By Predrag Radivojac, Vladimir Vacic, Chad Haynes, R. Cocklin, Amrita Mohan, J. Heyen, M. Goebl, Lilia M. Iakoucheva. Proteins: Structure, Function, and Bioinformatics, 2010
588 citations recorded by the source corpus.
Ubiquitination plays an important role in many cellular processes and is implicated in many diseases. Experimental identification of ubiquitination sites is challenging due to rapid turnover of ubiquitinated proteins and the large size of the ubiquitin modifier. We identified 141 new ubiquitination sites using a combination of liquid chromatography, mass spectrometry, and mutant yeast strains. Investigation of the sequence biases and structural preferences around known ubiquitination sites indicated that their properties were similar to those of intrinsically disordered protein regions. Using a combined set of new and previously known ubiquitination sites, we developed a random forest predictor of ubiquitination sites, UbPred. The class‐balanced accuracy of UbPred reached 72%, with the area under the ROC curve at 80%. The application of UbPred showed that high confidence Rsp5 ubiquitin ligase substrates and proteins with very short half‐lives were significantly enriched in the number of predicted ubiquitination sites. Proteome‐wide prediction of ubiquitination sites in Saccharomyces cerevisiae indicated that highly ubiquitinated substrates were prevalent among transcription/enzyme regulators and proteins involved in cell cycle control. In the human proteome, cytoskeletal, cell cycle, regulatory, and cancer‐associated proteins display higher extent of ubiquitination than proteins from other functional categories. We show that gain and loss of predicted ubiquitination sites may likely represent a molecular mechanism behind a number of disease‐associatedmutations. UbPred is available at http://www.ubpred.org. Proteins 2010. © 2009 Wiley‐Liss, Inc.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/be7ea347517af0e0b3f03410695d84624cb960c6
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Citations in the corpus
- Performance of mutation pathogenicity prediction methods on missense variants (2011, background): “Function-related attributes include predictions of DNA-binding residues [Ahmad et al., 2004], catalytic residues, calmodulin-binding targets [Radivojac et al., 2006], and posttranslational modification sites [Daily et al., 2005; Iakoucheva et al., 2004; Radivojac et al., 2010].”