Author

Wenyang Zhou

Harbin Institute of TechnologyORCID 0000-0002-3676-0584Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Approach:mixed model· 1 Assay:protein structure· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Chang XuiD· 2 shared Guangfu XueiD· 2 shared Huan NieiD· 2 shared Meng LuoiD· 2 shared Pingping WangiD· 2 shared Qinghua JiangiD· 2 shared Rui ChengiD· 2 shared Xiyun JiniD· 2 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Chang XuORCID

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2 papers

Recent·Most cited

DeepCCI: a deep learning framework for identifying cell-cell interactions from single-cell RNA sequencing data

Wenyi Yang, Zhaochun Xu, Meng Luo, Yideng Cai, Chang Xu, Pingping Wang, Songren Wei, Guangfu Xue, Xiyun Jin, Rui Cheng, Jinhao Que, Wenyang Zhou, Fenglan Pang, Huan Nie, Qinghua Jiang

DeepCCI uses deep learning to identify cell-cell interactions from scRNA-seq data, showing accurate and effective results across diverse datasets.

bioRxiv · Nov 11, 2022 · PreprintBioinformatics

N439K variant in spike protein may alter the infection efficiency and antigenicity of SARS-CoV-2 based on molecular dynamics simulation

Wenyang Zhou, Chang Xu, Pingping Wang, Meng Luo, Zhaochun Xu, Rui Cheng, Xiyun Jin, Yu Guo, Guangfu Xue, Liran Juan, Anastasia A. Anashkina, Huan Nie, Qinghua Jiang

The paper uses molecular dynamics simulation to analyze how the N439K mutation in SARS-CoV-2's spike protein affects its binding to ACE2 and resistance to neutralizing antibodies.

Frontiers in Cell and Developmental Biology · Aug 3, 2021Peer-reviewedBioinformatics