Author

Yu Kong

Shanghai Medical College of Fudan UniversityPrimary ORCID profile (0000-0002-3311-2901 · 6 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Yu KongiD6 papers · Albert Einstein College of Medicine

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

Fandi WuiD· 2 shared Jiale Shi· 2 shared Jianhua YaoiD· 2 shared Rubo WangiD· 2 shared Tianlei YingiD· 2 shared Xingyu GaoiD· 2 shared Yidong SongiD· 2 shared Bing He· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Fandi WuORCID

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2 papers

Recent·Most cited

A synergistic generative-ranking framework for tailored design of therapeutic single-domain antibodies

Yu Kong, Jiale Shi, Fandi Wu, Ting Zhao, Rubo Wang, Xiaoyi Zhu, Qingyuan Xu, Yidong Song, Quanxiao Li, Yulu Wang, Xingyu Gao, Yuedong Yang, Yi Feng, Zifei Wang, Weifeng Ge, , Tianlei Ying

This paper introduces TFDesign-sdAb, a deep learning framework for designing therapeutic single-domain antibodies with tailored functionalities, achieving high success rates in generating Protein A-binding sdAbs.

Cell Discovery · Oct 29, 2025Peer-reviewedBioinformatics

A Generative Foundation Model for Antibody Design

Rubo Wang, Fandi Wu, Jiale Shi, Yidong Song, Yu Kong, Jianhua Ma, Bing He, Qihong Yan, Tianlei Ying, Peilin Zhao, Xingyu Gao, Jianhua Yao

IgGM is a generative model for antibody design that produces high-affinity antibodies through tasks like structure prediction and affinity maturation, validated on multiple antigens.

bioRxiv · Sep 12, 2025 · PreprintBioinformatics