Author

Qizhi Pei

Renmin University of ChinaORCID 0000-0002-7242-422XUnclaimed 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 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

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

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiochemistry

Chi-Kin Chan

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 11, 2026

Chain of Structures: Connecting Reasoning and Generation for Protein Design

Qingran Cai, Mingyang Xu, Jiaxian Yan…·Zaixi Zhang

The paper introduces a method for protein design that connects reasoning and generation through structural states, achieving high performance on a benchmark.

DOI 10.64898/2026.10.09.758133

protein sequencedeep learning

𝕏 PostBluesky

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

𝕏 PostBluesky