Author

Yuanqing Zhou

Westlake UniversityORCID 0000-0002-7002-9541Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:protein design· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Haitao LiniD· 2 shared Stan Ziqing LiiD· 2 shared Yufei HuangiD· 2 shared Lianghua XieiD· 1 shared Lirong WuiD· 1 shared Lirong WuiD· 1 shared Odin ZhangiD· 1 shared Rui SuniD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Haitao LinORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Effectiveness and efficiency: label-aware hierarchical subgraph learning for protein-protein interaction (laruGL-PPI)

Yuanqing Zhou, Haitao Lin, Lianghua Xie, Yufei Huang, Lirong Wu, Stan Ziqing Li, Wei Chen

This paper introduces laruGL-PPI, a label-aware hierarchical subgraph learning method for protein-protein interaction prediction that improves performance and efficiency by addressing topological shortcuts and computational costs.

Journal of Molecular Biology · Aug 3, 2024Peer-reviewedBioinformatics

GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation

Haitao Lin, Lirong Wu, Yufei Huang, Yunfan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, Stan Ziqing Li

GeoAB improves antibody design by generating realistic CDR structures and enabling accurate affinity maturation through mutation effect prediction.

bioRxiv · May 15, 2024 · PreprintBioinformatics