Author

Weiliang Zhu

Chinese Academy of SciencesORCID 0000-0001-6699-5299Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Assay:behavioral assay· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1

Frequent Co-Authors

Jingshan SheniD· 2 shared Aimin ZhouiD· 1 shared Baiyang Zheng· 1 shared Guan Wang· 1 shared Guanghui TianiD· 1 shared Guixu ZhangiD· 1 shared Haji Akber Aisa· 1 shared jiangyu zhao· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersNeuroscience

Jingshan ShenORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintNov 9, 2026

Serotonin Reuptake Inhibition Reduces NMDAR-Associated Reward Liability Without Compromising Rapid Antidepressant Efficacy

Libiao Pan, Guan Wang, Jing Ji…·Jingshan Shen

This study shows that combining serotonin reuptake inhibition with NMDAR antagonism reduces reward-related effects while maintaining rapid antidepressant efficacy.

DOI 10.64898/2026.11.01.763059

mousebehavioral assay

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BioinformaticsbioRxivPreprintJul 17, 2024

F-CPI: Prediction of activity changes induced by fluorine substitution using multimodal deep learning

Qian Zhang, Wenhai Yin, Xinyao Chen…·Zhijian Xu

This study introduces F-CPI, a deep learning model to predict activity changes from fluorine substitution in drugs, achieving 89% accuracy and demonstrating its utility in optimizing SARS-CoV-2 3CLpro inhibitors.

DOI 10.1101/2024.07.17.602844

deep learningdrug response / drug discovery

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