Name
Title | ||
|---|---|---|
Identification and characterization of lysine-methylated sites on histones and non-histone proteins. |
Abstract | ||
|---|---|---|
•This is the first study to classify proteins into histones and non-histones to identify potentially modified sites.•The method significantly improved the predictive accuracy of histones compared to previous approaches.•For histones, the predictive sensitivity achieved 85.62% and specificity achieved 80.32%. For non-histone proteins, the predictive sensitivity was 69.1% and specificity was 88.72%.•The features of the flanking region of lysine-methylated sites on histones and non-histone proteins were discovered to be significantly different. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.compbiolchem.2014.01.009 | Computational Biology and Chemistry |
Keywords | Field | DocType |
Post-translational modification,PTM,Lysine,Methylation,Histone,Non-histone,Support vector machine,SVM | Histone-modifying enzymes,Protein methylation,Conserved sequence,Histone,Biology,Biochemistry,Amino acid,Histone methylation,Methylation,Bioinformatics,Lysine | Journal |
Volume | Issue | ISSN |
50 | C | 1476-9271 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tzong-Yi Lee | 1 | 617 | 37.18 |
| Cheng-Wei Chang | 2 | 0 | 0.34 |
| Cheng-Tsung Lu | 3 | 203 | 9.04 |
| Tzu-Hsiu Cheng | 4 | 24 | 1.30 |
| Tzu-Hao Chang | 5 | 145 | 11.92 |