Struct-NB: predicting protein-RNA binding sites using structural features Online publication date: Thu, 14-Jan-2010
by Fadi Towfic, Cornelia Caragea, David C. Gemperline, Drena Dobbs, Vasant Honavar
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 4, No. 1, 2010
Abstract: We analyse sequence and structural features of protein-RNA interfaces using RB-147, a non-redundant dataset of protein-RNA complexes extracted from the PDB. We train classifiers using machine learning algorithms to predict protein-RNA interfaces from sequence and structure-derived features of proteins. Our experiments show that Struct-NB, a Naive Bayes classifier that exploits structural features, outperforms its counterparts that use only sequence features to predict protein-RNA binding residues.
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