Author

Cui Yunxia

Shanghai Jiao Tong University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:perturbation response prediction· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Jian ZhangiD· 3 shared Mingyu Li· 2 shared Xiaobing Lan· 2 shared Xinchao ShiiD· 2 shared Zhenyu AniD· 2 shared Bin LiaoiD· 1 shared Chaoran ChengiD· 1 shared Chengwei Wu· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersBioinformatics

Jian ZhangORCID

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Author profile →

3 papers

Recent·Most cited

Chemi-Proteome Language Attention Network Empowers Fragment-Based Ligand Interactome and Binding Sites Discovery with Evidence

Bin Liao, Jixiao He, Mingzhu Zhao, Xiaozhen Cui, Cui Yunxia, Chuanqiao Dong, Hongyan Sun, Liang Zhang, Jian Zhang

C-PLANK improves ligand-protein interaction prediction by integrating cellular context and fragment-based chemoproteomics data, outperforming existing methods and identifying novel ligands.

bioRxiv · Aug 30, 2026 · PreprintBioinformatics

Accurate de novo design of peptides from programming biophysical landscape

Mingyu Li, Yini Liu, Jie Zhong, Xinchao Shi, Jiqing Zheng, Kai Wang, Cui Yunxia, Chaoran Cheng, Shijin Li, Xiangzhe Kong, S W Li, Miaojie Xv, Chunhao Zhu, Xiaobing Lan, He Yang, , Jian Zhang

NeoPep designs functional peptides de novo using a deep-learning framework that models biophysical principles, achieving high hit rates and structural accuracy across diverse targets.

bioRxiv · Jun 9, 2026 · PreprintMolecular Biology

Large-scale quantum computing framework enhances drug discovery in multiple stages

Kai Wen, Jinyin Zha, Shaobo Chen, Jie Zhong, Lixin Yuan, Cui Yunxia, Xinchao Shi, Wenming Qin, Xiaobing Lan, Yonghui Liu, Xiuyan Yang, Hui Qin, Mingyu Li, Putuo Guo, Qingjie Xiao, , Jian Zhang

This paper presents a quantum computing framework for drug discovery that improves stability and performance in multiple stages, identifying novel druggable sites and compounds.

bioRxiv · Feb 11, 2026 · PreprintBioinformatics