Position-specific prediction of methylation sites from sequence conservation based on information theory.

ABSTRACT: Protein methylation plays vital roles in many biological processes and has been implicated in various human diseases. To fully understand the mechanisms underlying methylation for use in drug design and work in methylation-related diseases, an initial but crucial step is to identify methylation sites. The use of high-throughput bioinformatics methods has become imperative to predict methylation sites. In this study, we developed a novel method that is based only on sequence conservation to predict protein methylation sites. Conservation difference profiles between methylated and non-methylated peptides were constructed by the information entropy (IE) in a wider neighbor interval around the methylation sites that fully incorporated all of the environmental information. Then, the distinctive

SUBMITTER: Shi Y 

PROVIDER: S-EPMC5378888 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature