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IJDMB
2010

Struct-NB: predicting protein-RNA binding sites using structural features

9 years 2 months ago
Struct-NB: predicting protein-RNA binding sites using structural features
: We explore whether protein-RNA interfaces differ from non-interfaces in terms of their structural features and whether structural features vary according to the type of the bound RNA (e.g., mRNA, siRNA, etc.), using a non-redundant dataset of 147 protein chains extracted from protein-RNA complexes in the Protein Data Bank. Furthermore, we use machine learning algorithms for training classifiers to predict protein-RNA interfaces using information derived from the sequence and structural features. We develop the Struct-NB classifier that takes into account structural information. We compare the performance of Na¨ıve Bayes and Gaussian Na¨ıve Bayes with that of Struct-NB classifiers on the 147 protein-RNA dataset using sequence and structural features respectively as input to the classifiers. The results of our experiments show that Struct-NB outperforms Na¨ıve Bayes and Gaussian Na¨ıve Bayes on the problem of predicting the protein-RNA binding interfaces in a protein sequen...
Fadi Towfic, Cornelia Caragea, David C. Gemperline
Added 27 Jan 2011
Updated 27 Jan 2011
Type Journal
Year 2010
Where IJDMB
Authors Fadi Towfic, Cornelia Caragea, David C. Gemperline, Drena Dobbs, Vasant Honavar
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