Author

Yu Zong

Fudan UniversityORCID 0009-0006-5426-015XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 2 Approach:graph neural network· 2 Research Focus:protein structure prediction· 2 Assay:proteomics· 2 Approach:transformer / foundation model· 2 Research Focus:benchmarking· 1 Research Focus:protein design· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Liang QiaoiD· 2 shared Xipeng QiuiD· 1 shared Xuanjing HuangiD· 1 shared Yuxin WangiD· 1 shared Yuxin WangiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Liang QiaoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 20, 2025

Deep Learning Prediction of Intact N-/O-Glycopeptide Tandem Mass Spectra Enhances Glycoproteomics

Yu Zong, Yuxin Wang, Liang Qiao

This study introduces DeepGPO, a deep learning framework that accurately predicts N- and O-glycopeptide MS/MS spectra, enhancing glycoproteomics analysis.

1 citation

proteomicsdeep learning

𝕏 PostBluesky

BioinformaticsNature Machine IntelligencePeer-reviewedJul 30, 2024

Deep Learning Prediction of Glycopeptide Tandem Mass Spectra Powers Glycoproteomics

裕文宗, Yuxin Wang, Xipeng Qiu…·Liang Qiao

DeepGP predicts glycopeptide MS/MS spectra and retention time using a hybrid deep learning framework, improving glycoproteomics analysis by distinguishing similar glycoforms and increasing detection sensitivity.

27 citationstop 5%

proteomicsdeep learning

𝕏 PostBluesky