Back to search

Article

Machine Learning-Driven Glycoproteomic Profiling Identifies Novel Diabetes-Associated Glycosylation Biomarkers

2025-02-26

Abstract excerpt

Glycosylation plays a critical role in protein function and disease progression, including diabetes mellitus. This study performed a comprehensive glycoproteomic analysis comparing healthy volunteers (HV) and DM samples, identifying 19,374 peptides and 2,113 proteins, of which 1,104 were glycosylated. A total of 287 distinct glycans were mapped to 3,722 glycosylated peptides, revealing significant differences in g...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
32368ce0-6640-568d-9bfc-5db3a449ffd7
DOI
10.1101/2025.02.24.25322514
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Machine Learning-Driven Glycoproteomic Profiling Identifies Novel Diabetes-Associated Glycosylation BiomarkersDOI 10.1101/2025.02.24.25322514
Select a neighboring publication to make it the new centre.