Article
Transformer-based Deep Learning for Glycan Structure Inference from Tandem Mass Spectrometry
2025-07-05
Abstract excerpt
Glycans play critical roles in diverse biological processes, but their structural analysis by tandem mass spectrometry (MS/MS) remains a major challenge due to their branched structure and stereochemistry. Traditional computational methods, such as database searching, are constrained by the scope of existing libraries and can be computationally intensive. While recent deep learning models have advanced the field,...
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Identifiers and source
- Literature Corpus work
- b28cb755-acca-5e74-983a-f6087740196d
- DOI
- 10.1101/2025.07.02.662857
