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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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

BiochemistrybioRxivPreprintSep 15, 2026

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…·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.

DOI 10.64898/2026.09.12.751098

humanproteomics

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Pharmacology & ToxicologyJournal of Pharmaceutical AnalysisPeer-reviewedOct 10, 2025

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

Xiang Zhang, Chenliang Qian, Bochao 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.

2 citations

deep learningdrug response / drug discovery

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