Author

Weiwei Han

Jilin UniversityORCID 0000-0002-1931-9316Unclaimed 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· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Assay:multiome· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

B Y Xiao· 1 shared Dong He XuiD· 1 shared Huizi CuiiD· 1 shared Jingxuan ZhuiD· 1 shared Jingyi Kang· 1 shared Juexin WangiD· 1 shared Silvio E. PereaiD· 1 shared Wen Li· 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

B Y Xiao

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 22, 2026

From hotspot dependence to distributed robustness in resistance-aware lead optimization

Yuxuan Wang, B Y Xiao, Jingyi Kang…·Weiwei Han

The paper introduces ResistAgent, a framework for resistance-aware lead optimization that converts mutational liabilities into design objectives, improving robustness over average-affinity behavior.

DOI 10.64898/2026.06.16.732538

experimental assaydrug response / drug discovery

𝕏 PostBluesky

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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