Author

Panpan Shao

Nanjing University of Chinese Medicine

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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Cancer Biology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:protein structure· 1 Approach:statistical model· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Dan TengiD· 2 shared Kaixian CheniD· 2 shared Mingliang WangiD· 2 shared Mingyue ZhengiD· 2 shared Sulin ZhangiD· 2 shared Xiaomin LuoiD· 2 shared Xutong LiiD· 2 shared Zhehuan Fan· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

Dan TengORCID

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2 papers

Recent·Most cited

Functional orthogonality of WRN inhibitor resistance enables alternating therapy and mutation-tolerant inhibitor design in MSI-H cancers

Guizhen Zhou, Dan Teng, Dan Wang, Miao Pang, Zisheng Fan, Yuyan Tao, Shuai Chen, Xiaomin Yang, M W Huang, Panpan Shao, Yun Liu, Rongrong Cui, Zhiyin Xie, Yi Zhou, Zhiming Ge, , Mingyue Zheng

This study shows that resistance to different WRN inhibitors in MSI-H cancers creates orthogonal vulnerabilities, enabling alternating therapy and mutation-tolerant inhibitor design.

bioRxiv · Jun 12, 2026 · PreprintCancer Biology

Advancing Ligand Binding Affinity Prediction with Cartesian Tensor-Based Deep Learning

Jie Yu, Xia Sheng, Zhehuan Fan, Zhaokun Wang, Duanhua Cao, Yongxin Hao, Yingying Zhang, Panpan Shao, Huicong Ma, Tian Cao, Jingxin Rao, Mingan Chen, Kaixian Chen, Xutong Li, Dan Teng, , Mingyue Zheng

PBCNet2.0 predicts protein-ligand binding affinity using a cartesian tensor-based Siamese Neural Network, achieving high accuracy and efficiency compared to physics-based simulations.

bioRxiv · Jun 4, 2025 · PreprintMolecular Biology