Prediction of glycan structures using deep learning method. #GlycanPrediction

The content provided is a publisher’s note from Springer Nature, stating their neutrality towards jurisdictional claims in published maps and institutional affiliations. It also includes a summary of a study titled “Predicting glycan structure from tandem mass spectrometry via deep learning” by Urban et al., published in Nature Methods in 2024. The study focuses on using deep learning to predict glycan structures from tandem mass spectrometry data. The link to the full study is provided for further reference.

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Source link: https://www.nature.com/articles/s41592-024-02315-5