Author

Shufang Xie

Microsoft (United States)ORCID 0000-0002-7126-0139Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:large language model· 1 Research Focus:perturbation response prediction· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Haiguang LiuiD· 2 shared Tao QiniD· 2 shared Tie‐Yan LiuiD· 2 shared Yingce XiaiD· 2 shared Chi-Kin Chan· 1 shared Enhong CheniD· 1 shared Han Jie GuoiD· 1 shared Jinhua ZhuiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBiochemistry

Haiguang LiuORCID

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2 papers

Recent·Most cited

BiochemistryNature CommunicationsPeer-reviewedOct 29, 2024

Target-aware Molecule Generation for Drug Design Using a Chemical Language Model

Kehan Wu, Yingce Xia, Pan Deng…·Tie‐Yan Liu

This paper introduces TamGen, a chemical language model for target-aware molecule generation, and shows it produces high-quality compounds with inhibitory activity against Tuberculosis ClpP protease.

107 citationstop 1%

deep learninglarge language model

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Molecular BiologybioRxivPreprintNov 14, 2022

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

Kaiyuan Gao, Lijun Wu, Jinhua Zhu…·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.

12 citations

humanprotein sequence

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