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

Fadi Towfic; Cornelia Caragea; David C. Gemperline; Drena Dobbs; Vasant Honavar

doi:10.1504/IJDMB.2010.030965

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

Fadi Towfic
, Cornelia Caragea
, David C. Gemperline
, Drena Dobbs
, Vasant Honavar

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

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 Naïve Bayes classifier that exploits structural features, outperforms its counterparts that use only sequence features to predict protein-RNA binding residues.

Original language	English (US)
Pages (from-to)	21-43
Number of pages	23
Journal	International Journal of Data Mining and Bioinformatics
Volume	4
Issue number	1
DOIs	https://doi.org/10.1504/IJDMB.2010.030965
State	Published - Jan 2010

All Science Journal Classification (ASJC) codes

Information Systems
General Biochemistry, Genetics and Molecular Biology
Library and Information Sciences

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

Abstract

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