Author

Qiang Yang

Harbin Institute of TechnologyORCID 0000-0002-6524-9443Unclaimed ORCID profile · follow to get notified of new preprints

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Qiang Yang8 papers · University of Florida

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Gongning LuoiD· 3 shared Guohua WangiD· 3 shared Kuanquan WangiD· 3 shared Long XuiD· 3 shared Suyu DongiD· 3 shared Tiansong YangiD· 3 shared Weihe DongiD· 3 shared Xin GaoiD· 3 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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3 shared papersBioinformatics

Gongning LuoORCID

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3 papers

Recent·Most cited

HINS: HLA-mediated immunogenic neoantigen score for robust prediction of immune checkpoint blockade response

Qiang Yang, Long Xu, Weihe Dong, Xiaokun Li, Kuanquan Wang, Suyu Dong, Gongning Luo, Xianyu Zhang, Tiansong Yang, Xin Gao, Guohua Wang

This paper introduces HINS, a deep-learning method that predicts immune checkpoint blockade response using HLA-mediated immunogenic neoantigen scores, achieving high accuracy in identifying responders.

bioRxiv · Dec 12, 2025 · PreprintBioinformatics

THLANet: A Deep Learning Framework for Predicting TCR-pHLA Binding in Immunotherapy Applications

Long Xu, Qiang Yang, Weihe Dong, Xiaokun Li, Kuanquan Wang, Suyu Dong, Gongning Luo, Xianyu Zhang, Tiansong Yang, Xin Gao, Guohua Wang

THLANet predicts TCR-pHLA binding using deep learning, outperforming existing methods and providing structural insights into TCR-antigen interactions.

PLoS Computational Biology · Sep 12, 2025Peer-reviewedBioinformatics

GeoGAT-site: A Face-Centered Geometric Graph Attention Network for Protein-Protein Interface Prediction

Long Xu, Qiang Yang, Weihe Dong, Xiaokun Li, Kuanquan Wang, Suyu Dong, Gongning Luo, Xianyu Zhang, Tiansong Yang, Xin Gao, Guohua Wang

GeoGAT-site predicts protein-protein interaction sites using a geometric graph attention network, achieving high accuracy and efficiency compared to existing methods.

bioRxiv · Jul 28, 2025 · PreprintBioinformatics