Author

Qi Zhang

National Institutes of HealthORCID 0000-0002-2639-9158Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Qi Zhang23 papers · Central South University

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Approach:biophysical modeling· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Wei ZhengiD· 2 shared Yihong YeiD· 2 shared Brothely Jones· 1 shared Catherine Z. CheniD· 1 shared Christopher GrunseichiD· 1 shared Chunying CheniD· 1 shared Deli HuangiD· 1 shared Dongsheng LiuiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersNeuroscience

Wei ZhengORCID

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3 papers

Recent·Most cited

Cell BiologyAdvanced SciencePeer-reviewedDec 7, 2025

IgG-Bridging-Seeded Synergistic Aggregation of SARS-CoV-2 Spikes Underlies Potent Neutralization by A Low-Affinity Antibody

Niannian Lv, Peng Chen, Xiaobin Dai…·Yuhe Renee Yang

This paper identifies a low-affinity SARS-CoV-2 antibody, P5-1C8, that neutralizes Omicron JN.1 through IgG-mediated spike aggregation rather than direct binding.

2 citations

humanproteomics

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NeurosciencebioRxivPreprintNov 9, 2025

An ALS-associated TARDBP mutation drives cryptic exon inclusion and RNA dysregulation

Qi Zhang, Meng Liu, Xiaojuan Fan…·Wei Zheng

Human brain organoids show that a TDP-43 mutation causes RNA mis-splicing and neuronal stress in ALS.

6 citations

humanbulk RNA-seq

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BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedApr 11, 2022

A Graph Convolutional Network-based screening strategy for rapid identification of SARS-CoV-2 cell-entry inhibitors

Peng Gao, Miao Xu, Qi Zhang…·Min Shen

The paper develops a graph convolutional network to screen compounds for SARS-CoV-2 entry inhibitors, identifying 16 active compounds from 170,000 virtual candidates.

8 citations

deep learninggraph neural network

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