Author

Jingxuan Zhu

Jilin UniversityORCID 0000-0002-3730-6623Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 2 Research Focus:protein design· 2 Approach:Bayesian inference· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Assay:multiome· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Dong He XuiD· 1 shared Haoyang Liu· 1 shared Juexin WangiD· 1 shared Kai WeniD· 1 shared Mengsong Wang· 1 shared Quanshun LiiD· 1 shared Shiwen LiiD· 1 shared Sirui WangiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Dong He XuORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintAug 6, 2026

Evolution-inspired multi-objective Bayesian optimization for protein engineering

Kai Wen, Sirui Wang, Yixin Sun…·Jingxuan Zhu

This paper introduces EvoMOBO, a multi-objective Bayesian optimization framework for protein engineering, showing improved performance in enzyme tasks compared to wild-type variants.

DOI 10.64898/2026.08.05.743005

protein sequencedeep learning

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BioinformaticsNature CommunicationsPeer-reviewedMar 29, 2022

Neural relational inference to learn allosteric long-range interactions in proteins from molecular dynamics simulations

Jingxuan Zhu, Juexin Wang, Weiwei Han, Dong He Xu

The paper uses a neural relational inference model to learn long-range interactions in proteins from molecular dynamics simulations, revealing allosteric communication pathways in Pin1, SOD1, and MEK1 systems.

144 citationstop 1%

multiomedeep learning

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