DeepGlycan

adjacent

DeepGlycan: adjacent. Deep-learning de novo glycopeptide sequencing that learns the relationship between glycopeptide spectra and fragment ions for both N- and O-glycans, rather than being…

Deep-learning de novo glycopeptide sequencing that learns the relationship between glycopeptide spectra and fragment ions for both N- and O-glycans, rather than being tied to one fragmentation method. Reports over 92% glycan recall and about 95% precision on N-glycopeptide spectra under both sceHCD and EThcD, and sequences O-glycans with no additional training. Identifies an O-glycopeptide in mouse heart tissue confirmed by exoglycosidase treatment and a synthetic standard.

Kind	adjacent
Deep learning	yes
Acquisition	DDA

Papers

• High-accuracy glycan de novo prediction for N- and O-linked glycopeptides across multiple fragmentation techniques (2026, Nature Communications, peer-reviewed)

Authors (6)

Qianqiu Zhang, Zeping Mao, Yuling Chen, Baozhen Shan, Haiteng Deng, Ming Li

Seen in the charts

• Models and the authors behind them

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