HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues.

ABSTRACT:

Background

Post-translational modifications are viewed as an important mechanism for controlling protein function and are believed to be involved in multiple important diseases. However, their profiling using laboratory-based techniques remain challenging. Therefore, making the development of accurate computational methods to predict post-translational modifications is particularly important for making progress in this area of research.

Results

This work explores the use of four half-sphere exposure-based features for computational prediction of sumoylation sites. Unlike most of the previously proposed approaches, which focused on patterns of amino acid co-occurrence, we were able to demonstrate that protein structural based features could be sufficiently informative to achi

SUBMITTER: Sharma A 

PROVIDER: S-EPMC7402407 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature