Author

Shuyuan Xiao

Northwestern Polytechnical UniversityORCID 0000-0002-4446-6967Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:protein design· 2 Assay:protein sequence· 2 Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Dazhi LuiD· 2 shared Dongna Xie· 2 shared Jiajie PengiD· 2 shared Jiaming LiuiD· 2 shared Shaoqing JiaoiD· 2 shared Jun WangiD· 1 shared Lishan Lin· 1 shared Tao Cui· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Dazhi LuORCID

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2 papers

Recent·Most cited

Designing AAV Capsid Protein with viability-guided Diffusion Model

Shuyuan Xiao, Xi Zeng, Shaoqing Jiao, Dazhi Lu, Dongna Xie, Jiaming Liu, Jiajie Peng

This paper introduces AAVDiffusion, a viability-guided diffusion model for designing viable AAV capsid proteins, showing improved performance in generating functional sequences.

bioRxiv · Jan 12, 2026 · PreprintBioinformatics

A Multi-Property Optimizing Generative Adversarial Network for de novo Antimicrobial Peptide Design

Jiaming Liu, Tao Cui, Tao Wang, Lishan Lin, Xi Zeng, Dazhi Lu, Shaoqing Jiao, Jun Wang, Xiaoyan Li, Shuyuan Xiao, Dongna Xie, Xuecheng Wang, Yongtian Wang, Xuequn Shang, Yinbo Niu, , Jiajie Peng

This paper introduces MPOGAN, a generative adversarial network for designing antimicrobial peptides with multiple desired properties, showing improved performance in antimicrobial activity and reduced cytotoxicity.

Advanced Science · Aug 11, 2025Peer-reviewedBioinformatics