Author

Xing Ming Zhang

Shenzhen Bay LaboratoryORCID 0000-0001-8902-0355Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:protein sequence· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1 Approach:graph neural network· 1 Approach:large language model· 1 Research Focus:protein design· 1

Frequent Co-Authors

Jian ZhaniD· 3 shared Yaoqi ZhouiD· 3 shared Fei Ling· 1 shared He WangiD· 1 shared Hongmei YiniD· 1 shared Jiuhong JiangiD· 1 shared Xu HongiD· 1 shared Zhichao MiaoiD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 20 mutual co-author links

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3 shared papersBioinformatics

Jian ZhanORCID

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3 papers

Recent·Most cited

ESM-LoRA-Gly: Improved prediction of N- and O-linked glycosylation sites by tuning protein language models with low-rank adaptation (LoRA)

Zhiyong Feng, Xing Ming Zhang, He Wang, Xu Hong, Jian Zhan, Yaoqi Zhou

ESM-LoRA-Gly improves prediction of N- and O-linked glycosylation sites by fine-tuning ESM2-3B with LoRA, achieving better accuracy and efficiency.

bioRxiv · Aug 12, 2025 · PreprintBioinformatics

RPcontact: Improved prediction of RNA-protein contacts using RNA and protein language models

Jiuhong Jiang, Xing Ming Zhang, Jian Zhan, Zhichao Miao, Yaoqi Zhou

RPcontact predicts RNA-protein contacts using RNA and protein language models, outperforming existing methods on contact prediction.

bioRxiv · Jun 2, 2025 · PreprintBioinformatics

SPIN-CGNN: Improved fixed backbone protein design with contact map-based graph construction and contact graph neural network

Xing Ming Zhang, Hongmei Yin, Fei Ling, Jian Zhan, Yaoqi Zhou

This paper introduces SPIN-CGNN, a protein design method using contact maps and graph neural networks, showing improved sequence recovery and structural accuracy compared to existing methods.

PLoS Computational Biology · Dec 7, 2023Peer-reviewedBioinformatics