SCMBYK: prediction and characterization of bacterial tyrosine-kinases based on propensity scores of dipeptides.

ABSTRACT:

Background

Bacterial tyrosine-kinases (BY-kinases), which play an important role in numerous cellular processes, are characterized as a separate class of enzymes and share no structural similarity with their eukaryotic counterparts. However, in silico methods for predicting BY-kinases have not been developed yet. Since these enzymes are involved in key regulatory processes, and are promising targets for anti-bacterial drug design, it is desirable to develop a simple and easily interpretable predictor to gain new insights into bacterial tyrosine phosphorylation. This study proposes a novel SCMBYK method for predicting and characterizing BY-kinases.

Results

A dataset consisting of 797 BY-kinases and 783 non-BY-kinases was established to design the SCMBYK predictor, which achie

SUBMITTER: Vasylenko T 

PROVIDER: S-EPMC5260027 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature