Author

Hongwei Jin

Peking UniversityPrimary ORCID profile (0000-0001-6789-5249 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Hongwei JiniD1 paper · Peking University

Biology Disciplines

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Biochemistry· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Jie XiaiD· 2 shared Song WuiD· 2 shared Baixin Jing· 1 shared Bochao YangiD· 1 shared Chenliang QianiD· 1 shared Fan YangiD· 1 shared Jiale ZhongiD· 1 shared Lei WangiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBiochemistry

Jie XiaORCID

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2 papers

Recent·Most cited

Deep reinforcement learning-driven discovery of a MsbA-targeted small-molecule antibiotic for the treatment of Acinetobacter baumannii infection

Lei Wang, Baixin Jing, Qingxin Liu, Jiale Zhong, Zunsheng Han, Yingying Yang, Hongwei Jin, Yanyan Li, Liang Peng, Song Wu, Jie Xia

This study uses AI-driven drug design to discover a new MsbA-targeted antibiotic, Y-11, effective against carbapenem-resistant Acinetobacter baumannii with reduced toxicity and resistance.

bioRxiv · Sep 15, 2026 · PreprintBiochemistry

Geometry-based BERT: an experimentally validated deep learning model for molecular property prediction in drug discovery

Xiang Zhang, Chenliang Qian, Bochao Yang, Hongwei Jin, Song Wu, Jie Xia, Fan Yang, Liangren Zhang

This paper introduces GEO-BERT, a deep learning model for molecular property prediction, validated through benchmarking and prospective studies on DYRK1A inhibitors.

Journal of Pharmaceutical Analysis · Oct 10, 2025Peer-reviewedPharmacology & Toxicology