Name
Abstract | ||
|---|---|---|
Nucleic acid-binding proteins are involved in a great number of cellular processes. Understanding the mechanisms underlying these proteins first requires the identification of specific residues involved in nucleic acid binding. Prediction of NA-binding residues can provide practical assistance in the functional annotation of NA-binding proteins. Predictions can also be used to expedite mutagenesis experiments, guiding researchers to the correct binding residues in these proteins. Here, we present a method for the identification of amino acid residues involved in DNA-and RNA-binding using sequence-based attributes. The method used in this work combines the C4.5 algorithm with bootstrap aggregation and cost-sensitive learning. Our DNA-binding model achieved 79.1% accuracy, while the RNA-binding model reached an accuracy of 73.2%. The NAPS web server is freely available at http://proteomics.bioengr.uic.edu/NAPS. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1093/nar/gkq361 | NUCLEIC ACIDS RESEARCH |
Keywords | Field | DocType |
nucleic acid,binding sites,rna binding proteins,algorithms,dna binding proteins,internet | Binding site,Biology,Proteomics,Amino acid,Biochemistry,DNA-binding protein,DNA,RNA-binding protein,Nucleic acid,Mutagenesis,Molecular biology | Journal |
Volume | Issue | ISSN |
38 | Web-Server-Issue | 0305-1048 |
Citations | PageRank | References |
13 | 0.62 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthew B Carson | 1 | 45 | 3.62 |
| Robert E. Langlois | 2 | 24 | 1.62 |
| Hui Lu | 3 | 49 | 6.27 |