Prediction of human O-linked glycosylation sites using stacked generalization and embeddings from pre-trained protein language model.

ABSTRACT:

Motivation

O-linked glycosylation, an essential post-translational modification process in Homo sapiens, involves attaching sugar moieties to the oxygen atoms of serine and/or threonine residues. It influences various biological and cellular functions. While threonine or serine residues within protein sequences are potential sites for O-linked glycosylation, not all serine and/or threonine residues undergo this modification, underscoring the importance of characterizing its occurrence. This study presents a novel approach for predicting intracellular and extracellular O-linked glycosylation events on proteins, which are crucial for comprehending cellular processes. Two base multi-layer perceptron models were trained by leveraging a stacked generalization framework. These base model

SUBMITTER: Pakhrin SC 

PROVIDER: S-EPMC11552629 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature