O-GlcNAcylation functions in a protein- and site-specific manner. Despite the great progress in experimentally mapping O-GlcNAc sites, it is still a challenging task in many cases. We constructed an ensemble model O-GlcNAcPRED-DL to predict O-GlcNAc sites on proteins by using deep learning approaches. In comparison to existing methods, O-GlcNAcPRED-DL shows improved sensitivity and accuracy. We anticipate that it will be used as a valuable tool to expedite the discovery of O-GlcNAc sites on proteins (especially of humans and mice) and elucidation of their functions in physiology and diseases.

If you find this resource helpful, please cite our paper (Hu. et al. 2023. Manuscript submitted) in your publications.