Author

Xinyuan Zhu

University of Science and Technology of ChinaORCID 0000-0002-2891-837XUnclaimed 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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Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Fuli FengiD· 2 shared Cheng ZhangiD· 1 shared Dawei HuangiD· 1 shared Fandi WuiD· 1 shared J D LuiD· 1 shared Jianhua YaoiD· 1 shared Jianzhu MaiD· 1 shared Jun WuiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Fuli FengORCID

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2 papers

Recent·Most cited

FoldAbS: Repurposing the Protein Folding Model as a Foundation Encoder for Antibody Screening

Jun Wu, Fandi Wu, Xinyuan Zhu, Dawei Huang, Kaiwen Cheng, Jianzhu Ma, Fuli Feng, Jianhua Yao

FoldAbS repurposes protein folding models as foundation encoders to improve antibody screening by evaluating specificity, affinity, and developability in a unified framework.

bioRxiv · Nov 5, 2026 · PreprintBioinformatics

Benchmarking TCR-pMHC structure prediction: a unified evaluation and CDR3-based functional insights

J D Lu, Xinyuan Zhu, Xinting Hu, Cheng Zhang, Fuli Feng

This paper benchmarks TCR-pMHC structure prediction tools using 70 unseen complexes and identifies the pLDDT score of the TCR CDR3 region as a key indicator of structural and functional accuracy.

Briefings in Bioinformatics · May 1, 2026Peer-reviewedBioinformatics