Integrating Embeddings from Multiple Protein Language Models to Improve Protein O-GlcNAc Site Prediction.

ABSTRACT: O-linked β-N-acetylglucosamine (O-GlcNAc) is a distinct monosaccharide modification of serine (S) or threonine (T) residues of nucleocytoplasmic and mitochondrial proteins. O-GlcNAc modification (i.e., O-GlcNAcylation) is involved in the regulation of diverse cellular processes, including transcription, epigenetic modifications, and cell signaling. Despite the great progress in experimentally mapping O-GlcNAc sites, there is an unmet need to develop robust prediction tools that can effectively locate the presence of O-GlcNAc sites in protein sequences of interest. In this work, we performed a comprehensive evaluation of a framework for prediction of protein O-GlcNAc sites using embeddings from pre-trained protein language models. In p

SUBMITTER: Pokharel S 

PROVIDER: S-EPMC10650050 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature