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A web server for identifying S-glutathionylation sites. GSHSite is based on a statistical method for identifying S-glutathionylation sites and potential consensus motifs by maximal dependence decomposition (MDD). With the application of MDD, a large group of aligned sequences can be moderated into subgroups that capture the most significant dependencies between positions. By further evaluation using five-fold cross-validation, the support vector machine (SVM) models trained with MDD-clustered subgroups could improve predictive accuracy when compared to the model without MDD clustering. Moreover, the experimental S-glutathionylation data from published database (independent set) are used to test the effectiveness of the models in cross-validation.
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