Author

Xiaobing Lan

Ningxia Medical 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· 1 Molecular Biology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:mouse· 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· 3 shared Xinchao ShiiD· 3 shared Chunhao Zhu· 2 shared Cui Yunxia· 2 shared Kewei CHANG· 2 shared Youwen ZhuangiD· 2 shared Zhenyu AniD· 2 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersPharmacology & Toxicology

Jian ZhangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Fine-tuning an intracellular allosteric pocket programs GPCR signaling bias

Xinchao Shi, Ruidi Zhu, Kewei CHANG, Peng Yu, Qingning Yuan, 张云云, Xun Lu, Ziwei Zhou, Chunhao Zhu, Xiaobing Lan, Mingyu Li, Rui Li, Xin Qiao, Weidi Xie, Youwen Zhuang, , Jian Zhang

This study fine-tunes an intracellular allosteric pocket of NTSR1 to program GPCR signaling bias, revealing how ligand modifications alter transducer coupling and downstream signaling.

bioRxiv · Oct 27, 2026 · PreprintPharmacology & Toxicology

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