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August 15, 2013:
MethK : a web server was constructed for identifying lysine methylation sites.

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Version: 1.0
(August 15, 2013)


Welcome to MethK!

MethK is a web server for identifying methylated lysines on histones and non-histone proteins. Protein methylation involves in many important biological processes including transcription activity, signal transduction and regulation of gene expression. Most of recent studies focus on lysine methylation of histones due to its critical roles of regulation in transcriptional repression or activation. Histones possess highly conserved sequences and are homologous in most species. However, there is much less sequence conservation within non-histone proteins. Thus, the characteristics of lysine methylation sites may be quite different between histones and non-histone proteins. In this study, we developed two prediction models using support vector machine (SVM) which were trained using lysine methylation data from histones and non-histone proteins, respectively. For histone model, the predictive sensitivity and specificity are 85.62% and 80.32%, respectively. For non-histone model, the predictive sensitivity and specificity are 69.1% and 88.72%, respectively. Results show that our method significantly improves the prediction accuracy in histones as compared with previous approaches. This study is the first one which classifying proteins into histone and non-histones for identifying the potential modification sites. With the reliable and stable performance, we believe MethK is helpful for identifying lysine methylation, and could be extended to apply to identify lysine methylation site on other residues, such as arginine and glutamate.


Citing MethK

Lee TY, Chang CW, Lu CT, Cheng TH, Chang TH. (2014) "Identification and characterization of lysine-methylated sites on histones and non-histone proteins." Computational Biology and Chemistry, pii: S1476-9271(14)00011-5. [PubMed]


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