| Autor: |
Towfic F; Bioinformatics and Computational Biology Graduate Program, Iowa State University, Ames, IA 50011-1040, USA. ftowfic@cs.iastate.edu, Caragea C, Gemperline DC, Dobbs D, Honavar V |
| Jazyk: |
angličtina |
| Zdroj: |
International journal of data mining and bioinformatics [Int J Data Min Bioinform] 2010; Vol. 4 (1), pp. 21-43. |
| DOI: |
10.1504/ijdmb.2010.030965 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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