Author

Jingxin Rao

Chinese Academy of Sciences

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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Biochemistry· 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· 1 Assay:metabolomics· 1 Assay:protein structure· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Mingyue ZhengiD· 2 shared Xutong LiiD· 2 shared Chuanlong Zeng· 1 shared Dan TengiD· 1 shared Duanhua CaoiD· 1 shared Huicong Ma· 1 shared Jiacheng XiongiD· 1 shared Jie YuiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiochemistry

Mingyue ZhengORCID

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2 papers

Recent·Most cited

MetaReact: A Reaction-Aware Transformer for End-to-End Prediction of Drug Metabolism

Yitian Wang, Jingxin Rao, Wei Zhang, Yuqi Shi, Chuanlong Zeng, Rongrong Cui, Yinquan Wang, Jiacheng Xiong, Xutong Li, Mingyue Zheng

MetaReact predicts drug metabolites and enzyme selectivity using a reaction-aware Transformer, outperforming existing methods in accuracy and generalizability.

bioRxiv · Mar 18, 2026 · PreprintBiochemistry

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