Author

Guijun Zhang

Zhejiang University of Technology

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Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:protein structure· 3 Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Xinyue cuiiD· 2 shared Dongliang Hou· 1 shared Enjia Ye· 1 shared Fang LiangiD· 1 shared Haodong WangiD· 1 shared Jun Liu· 1 shared Kailong ZhaoiD· 1 shared Lei XieiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Xinyue cuiORCID

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3 papers

Recent·Most cited

Ultrafast and Accurate Selection of High-Quality Protein Complex Models from Large-Scale Prediction

Fang Liang, Lei Xie, Enjia Ye, Zhengri Pan, Tiantian Xu, Haodong Wang, Pengcheng Wei, Jun Liu, Guijun Zhang

This paper introduces DeepUMQA-Selection, a framework for efficiently selecting high-quality protein complex models from large candidate pools, showing improved performance and speed.

bioRxiv · Oct 1, 2026 · PreprintBioinformatics

TopoFlow: Evolutionarily Conditioned Flow Matching for Protein Conformational Ensemble Generation

Xinguang Yang, Xinyue cui, Xuhui Li, Dongliang Hou, Suhui Wang, Tengyu Xie, Guijun Zhang

TopoFlow generates protein conformational ensembles using evolutionary and structural information, improving benchmark metrics and aligning with experimental data.

bioRxiv · Sep 24, 2026 · PreprintBioinformatics

AlphaFlex: Accuracy modeling of protein multiple conformations via predicted flexible residues

Lingyu Ge, Xinyue Cui, Kailong Zhao, Xiaogen Zhou, Yang Zhang, Guijun Zhang

AlphaFlex improves prediction of multiple protein conformations by integrating flexible residue prediction and directed masking, outperforming existing methods on apo-holo pairs.

bioRxiv · Jul 11, 2025 · PreprintBioinformatics