Author

Zhaojun Li

Chinese Academy of SciencesORCID 0000-0001-6459-3667Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

Alexander EspinosaiD· 1 shared Chunhui WuiD· 1 shared Cui CheniD· 1 shared Feipu YangiD· 1 shared Feisheng ZhongiD· 1 shared Fredrik WermelingiD· 1 shared He YangiD· 1 shared Hualiang JiangiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperImmunology

Alexander EspinosaORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintFeb 16, 2024

Dnmt3a mutations limit normal and autoreactive Tfh differentiation

Yunbing Shen, Zhaojun Li, Sanjaykumar V. Boddul…·Fredrik Wermeling

This study shows that Dnmt3a mutations impair Tfh differentiation, contributing to autoimmune joint inflammation and reduced immune responses.

DOI 10.1101/2024.02.16.580463

mousegenetic perturbation / CRISPR

𝕏 PostBluesky

BioinformaticsEuropean Journal of Medicinal ChemistryPeer-reviewedJul 11, 2020

Automated design and optimization of multitarget schizophrenia drug candidates by deep learning

Xiaoqin Tan, Xiangrui Jiang, He Yang…·Hualiang Jiang

This paper develops a deep learning system to design multitarget antipsychotic drugs, generating novel compounds with activity against multiple receptors and demonstrating efficacy in animal models.

45 citations

deep learningdrug response / drug discovery

𝕏 PostBluesky