Predicting glycan structure from tandem mass spectrometry via deep learning
Most Cited Paper
in Glycosylation and Glycoproteins Research
18 Months Post-Publication
Class of 2026
“Predicting glycan structure from tandem mass spectrometry via deep learning”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/glycosylation-and-glycoproteins-research/2026/
Topics
glycan structure prediction · tandem mass spectrometry · MS/MS spectra · CandyCrunch · dilated residual neural network · liquid chromatography-MS/MS · post-translational modification · structural annotation · de novo annotation · diagnostic fragment identification · fragment annotation · glycowork platform · high-throughput glycomics · deep learning for glycomics · raw data conversion
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Glycosylation and Glycoproteins Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/glycosylation-and-glycoproteins-research/2026. Accessed 2026-07-20. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459