Author

Xinxin Liu

Hangzhou Institute of Medicine, Chinese Academy of SciencesORCID 0000-0002-8334-8277Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Cheng‐Wei JuiD· 2 shared John Z. H. ZhangiD· 2 shared Wei XiaiD· 2 shared Yuzhi Richie XuiD· 2 shared Chao ZhangiD· 1 shared Guangyong CheniD· 1 shared Haiping ZhangiD· 1 shared Jiankai GeiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Cheng‐Wei JuORCID

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2 papers

Recent·Most cited

Quantifying Protein-Protein Interaction with a Spatial Attention Kinetic Graph Neural Network

Yuzhi Richie Xu, Wei Xia, Chao Zhang, Xinxin Liu, Cheng‐Wei Ju, Xuhang Dai, Pujun Xie, Yuanqing Wang, Guangyong Chen, John Z. H. Zhang

SAKE-PP improves PPI model evaluation by predicting interface RMSD without native references, outperforming AF3 on docking decoys and antibody-antigen complexes.

bioRxiv · Jun 4, 2025 · PreprintBioinformatics

ChemXTree: A Tree-enhanced Classification Approach to Small-molecule Drug Discovery

Yuzhi Richie Xu, Xinxin Liu, Jiankai Ge, Wei Xia, Cheng‐Wei Ju, Haiping Zhang, John Z.H. Zhang

ChemXTree improves small-molecule drug discovery by integrating tree-based algorithms with a graph model, showing superior performance in feature optimization on benchmark datasets.

bioRxiv · Nov 28, 2023 · PreprintBioinformatics