Author

Deqin Liu

Sun Yat-sen University

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:graph neural network· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:statistical model· 1

Frequent Co-Authors

Shuangjia ZhengiD· 2 shared Yuedong YangiD· 2 shared Jiahua RaoiD· 1 shared Jixian ZhangiD· 1 shared Qianmu YuaniD· 1 shared Sen ZhangiD· 1 shared Sheng CheniD· 1 shared Wei LuiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Shuangjia ZhengORCID

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2 papers

Recent·Most cited

Accurate Protein-Protein Interactions Modeling through Physics-informed Geometric Invariant Learning

Jiahua Rao, Deqin Liu, Xiaolong Zhou, Qianmu Yuan, Wentao Wei, Wei Lu, Jixian Zhang, Yu Rong, Yuedong Yang, Shuangjia Zheng

ProTact improves protein-protein interaction prediction using a geometric graph neural network with physics-informed constraints, outperforming existing methods on benchmark datasets.

Communications Biology · Mar 27, 2026Peer-reviewedBioinformatics

SE(3) Equivalent Graph Attention Network as an Energy-Based Model for Protein Side Chain Conformation

Deqin Liu, Sheng Chen, Shuangjia Zheng, Sen Zhang, Yuedong Yang

This paper introduces GraphEBM, an SE(3)-equivariant graph attention network for protein side chain conformation, outperforming existing methods in rotamer recovery and combinatorial optimization.

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · Dec 5, 2023Peer-reviewedBioinformatics