Author

Kun He

Huazhong University of Science and TechnologyPrimary ORCID profile (0009-0006-5036-6889 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Kun HeiD1 paper · University of Pittsburgh

Biology Disciplines

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Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Haiguang LiuiD· 1 shared Jinhua ZhuiD· 1 shared Kaiyuan GaoiD· 1 shared Liang HeiD· 1 shared Lijun WuiD· 1 shared Shufang XieiD· 1 shared Tao QiniD· 1 shared Tianbo Peng· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMolecular Biology

Haiguang LiuORCID

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1 paper

Recent·Most cited

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design

Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie‐Yan Liu

This paper develops a pre-trained antibody language model to improve CDR sequence and structure generation, outperforming previous methods in antigen-specific antibody design.

bioRxiv · Nov 14, 2022 · PreprintMolecular Biology