title: PGluS: prediction of protein S-glutathionylation sites with multiple features and analysis.
abstract: S-Glutathionylation is a reversible protein post-translational modification, which generates mixed disulfides between glutathione (GSH) and cysteine residues, playing an important role in regulating protein stability, activity, and redox regulation. To fully understand S-glutathionylation mechanisms, identification of substrates and specific S-glutathionylated sites is crucial. Compared with the labor-intensive and time-consuming experimental approaches, computational predictions of S-glutathionylated sites are very desirable due to their convenience and high speed. Therefore, in this study, a new bioinformatics tool named PGluS was developed to predict S-glutathionylated sites based on multiple features and support vector machines. The performance of PGluS was measured with an accuracy of 71.41% and a MCC of 0.431 using the 5-fold cross-validation on the training dataset. Additionally, PGluS was evaluated using an independent testing dataset resulting in an accuracy of 71.25%, which demonstrated that PGluS was very promising for predicting S-glutathionylated sites. Furthermore, feature analysis was performed and it was shown that all features adopted in this method contributed to the S-glutathionylation process. A site-specific analysis showed that S-glutathionylation was intimately correlated with the features derived from its surrounding sites. The conclusions derived from this study might help to understand more of the S-glutathionylation mechanism and guide the related experimental validation. For public access, PGluS is freely accessible at .
authors.affiliation: School of Computer Science and Information Technology, Northeast Normal University, Changchun, 130117, China. zhaoxw303@nenu.edu.cn.
authors.forename: Xiaowei
authors.initials: X
authors.lastname: Zhao
authors.forename: Qiao
authors.initials: Q
authors.lastname: Ning
authors.forename: Meiyu
authors.initials: M
authors.lastname: Ai
authors.forename: Haiting
authors.initials: H
authors.lastname: Chai
authors.forename: Minghao
authors.initials: M
authors.lastname: Yin
mesh_terms: D000465:Algorithms; D020816:Amino Acid Motifs; D000596:Amino Acids / Q000737:chemistry / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D005978:Glutathione; D010084:Oxidation-Reduction; D056510:Position-Specific Scoring Matrices; D011499:Protein Processing, Post-Translational; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D015203:Reproducibility of Results; D012984:Software; D064878:Web Browser
chemical_list: D000596:Amino Acids; D011506:Proteins; D005978:Glutathione