Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1504/IJDMB.2010.030965 | IJDMB |
Keywords | DocType | Volume |
naive bayes classifier,structural feature,protein-rna binding site,protein-rna binding residue,protein-rna interface,structure-derived feature,protein-RNA interactions,structural features,propensity,protein-rna interactions,protein-rna complex,sequence feature,analyse sequence,non-redundant dataset | Journal | 4 |
Issue | ISSN | Citations |
1 | 1748-5673 | 10 |
PageRank | References | Authors |
0.71 | 11 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fadi Towfic | 1 | 39 | 4.92 |
| Cornelia Caragea | 2 | 520 | 53.61 |
| David C Gemperline | 3 | 10 | 0.71 |
| Drena Dobbs | 4 | 423 | 35.43 |
| Vasant Honavar | 5 | 3353 | 468.10 |