PMeS: prediction of methylation sites based on enhanced feature encoding scheme.

ABSTRACT: Protein methylation is predominantly found on lysine and arginine residues, and carries many important biological functions, including gene regulation and signal transduction. Given their important involvement in gene expression, protein methylation and their regulatory enzymes are implicated in a variety of human disease states such as cancer, coronary heart disease and neurodegenerative disorders. Thus, identification of methylation sites can be very helpful for the drug designs of various related diseases. In this study, we developed a method called PMeS to improve the prediction of protein methylation sites based on an enhanced feature encoding scheme and support vector machine. The enhanced feature encoding scheme was composed of the sparse property coding, normalized van der Waals vo

SUBMITTER: Shi SP 

PROVIDER: S-EPMC3376144 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature