Author

Linghao Zhang

Beijing University of Chemical TechnologyORCID 0000-0002-6587-5938Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Biochemistry· 1 Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Organism:plant (other)· 1

Frequent Co-Authors

Aiwu DongiD· 1 shared Bing LiuiD· 1 shared Buyong MaiD· 1 shared Chenxi He· 1 shared Chunyi Zhang· 1 shared Fei LaniD· 1 shared Hanlin XuiD· 1 shared Huiyu LiuiD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperMolecular Biology

Aiwu DongORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Sequence-specific and programmable catalytic degradation of extracellular microRNAs by membrane-anchored DNA nanomachines

Ziyan Zhou, Linghao Zhang, Xiaowei Wang, Chunyi Zhang, Qiming Yan, Shihui Wang, Huiyu Liu, Xin Su

This paper introduces PRIME, a DNA nanomachine that degrades extracellular miRNAs, showing significant depletion and therapeutic effects in cancer models.

bioRxiv · Oct 1, 2026 · PreprintBiochemistry

H3K4me1 directs H3K36me2 and H3K36me3 deposition in land plants

Jiabing Wu, Jiachen Wang, Kangxi Du, Yingping Li, Wenhao Xie, Chenxi He, Qidan Xing, Xiang Li, Xiaoyu Zhu, Zhen Wu, Xiaolong Wu, Linghao Zhang, Wen‐Hui Shen, Fei Lan, Jianhua Gan, , Aiwu Dong

The paper identifies H3K4me1's role in directing H3K36me2 and H3K36me3 deposition in land plants through the interaction of Ehd3 and SDG724 proteins.

Nature Communications · Feb 16, 2026Peer-reviewedMolecular Biology

VirEvol platform:accurate prediction and visualization of SARS-CoV-2 evolutionary trajectory based on protein language model, structural information and immunological recognition mechanism

Xincheng Zeng, Linghao Zhang, Zhenyu Ning, Yusong Qiu, Ruobing Dong, Xiangyi Li, Lijun Lv, Hanlin Xu, Yanjing Wang, Buyong Ma

This paper introduces VirEvol, a platform that predicts and visualizes SARS-CoV-2 evolutionary trends using a protein language model, structural data, and immunological insights, achieving 93% accuracy in identifying high-risk strains.

bioRxiv · Sep 15, 2023 · PreprintBioinformatics