Author

Lijun Wu

Microsoft (United States)ORCID 0000-0002-5005-6403Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:large language model· 1 Research Focus:perturbation response prediction· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Chi-Kin Chan· 1 shared Enhong CheniD· 1 shared Haiguang LiuiD· 1 shared Han Jie GuoiD· 1 shared Jinjiang GuoiD· 1 shared Jinzhi Wu· 1 shared Kehan WuiD· 1 shared Liangliang ZhouiD· 1 shared

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2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBiochemistry

Chi-Kin Chan

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1 paper

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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