Journal
INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
Volume 4, Issue 1, Pages 21-43Publisher
INDERSCIENCE ENTERPRISES LTD
DOI: 10.1504/IJDMB.2010.030965
Keywords
protein-RNA interactions; propensity; structural features
Categories
Funding
- National Institutes of Health [GM066387]
- Integrative Graduate Education and Research Training (IGERT)
- National Science Foundation [DGE 0504304, EEC 0608769]
- Bloengineering and Bioinformatics Summer Institute (BBSI)
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R33GM066387, R21GM066387] Funding Source: NIH RePORTER
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available