Prediction of glycopeptide fragment mass spectra by deep learning - Nature

Retrieved on: 2024-03-19 21:40:47

Tags for this article:

Glycomics

Carbohydrates

Carbohydrate chemistry

Glycoproteins

Oligosaccharides

Glycopeptide

De novo peptide sequencing

Glycan

Mass spectrometry

Tandem mass spectrometry

Stellar classification

Click the tags to see associated articles and topics

Prediction of glycopeptide fragment mass spectra by deep learning - Nature. View article details on HISWAI: https://www.nature.com/articles/s41467-024-46771-1

Summary

The article discusses the use of machine learning, specifically tree LSTM networks, for predicting MS/MS spectra of glycopeptides in glycomics research. This approach enhances understanding of carbohydrates and their chemistry, aiding in peptide sequencing and glycan analysis via mass spectrometry. The tags are closely related to the key concept 'energy', although 'stellar classification' appears unrelated.

Article found on: www.nature.com

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