Prediction of glycopeptide fragment mass spectra by deep learning
Abstract Deep learning has achieved a notable success in mass spectrometry-based proteomics and is now emerging in glycoproteomics. While various deep learning models can predict fragment mass spectra of peptides with good accuracy, they cannot cope with the non-linear glycan structure in an intact...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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Nature Portfolio
2024-03-01
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| Serie: | Nature Communications |
| Accesso online: | https://doi.org/10.1038/s41467-024-46771-1 |
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