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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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Literature Corpus work
b28cb755-acca-5e74-983a-f6087740196d
DOI
10.1101/2025.07.02.662857
Open publication

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Transformer-based Deep Learning for Glycan Structure Inference from Tandem Mass SpectrometryDOI 10.1101/2025.07.02.662857
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