Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction.

ABSTRACT:

Background

Post-translational modification is considered an important biological mechanism with critical impact on the diversification of the proteome. Although a long list of such modifications has been studied, succinylation of lysine residues has recently attracted the interest of the scientific community. The experimental detection of succinylation sites is an expensive process, which consumes a lot of time and resources. Therefore, computational predictors of this covalent modification have emerged as a last resort to tackling lysine succinylation.

Results

In this paper, we propose a novel computational predictor called 'Success', which efficiently uses the structural and evolutionary information of amino acids for predicting succinylation sites. To do this, each lysine

SUBMITTER: Lopez Y 

PROVIDER: S-EPMC5781056 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature