Author

Enjia Ye

Zhejiang University of Technology

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· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:deep learning· 3 Assay:protein structure· 3 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Fang LiangiD· 3 shared Haodong WangiD· 3 shared Lei XieiD· 3 shared Guijun ZhangiD· 2 shared Tianyou ZhangiD· 2 shared Dong LiuiD· 1 shared Dong LiuiD· 1 shared Guijun Zhang· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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3 shared papersBioinformatics

Fang LiangORCID

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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

Highly Accurate Estimation of the Fold Accuracy of Protein Structural Models

Lei Xie, Enjia Ye, Haodong Wang, Tianyou Zhang, Qihang Zhen, Fang Liang, Dong Liu, Guijun Zhang

This paper introduces DeepUMQA-Global, a deep learning framework for estimating protein structure model accuracy, which outperforms existing methods in correlation metrics and consensus rankings.

bioRxiv · May 13, 2026 · PreprintBioinformatics

MViewEMA: Efficient Global Accuracy Estimation for Protein Complex Structural Models Using Multi-View Representation Learning

Dong Liu, Xuanfeng Zhao, Tianyou Zhang, Lei Xie, Enjia Ye, Fang Liang, Haodong Wang, Guijun Zhang

MViewEMA improves protein complex model accuracy estimation with multi-view representation learning, achieving higher efficiency and performance than previous methods.

Cell Reports Methods · Feb 1, 2026Peer-reviewedBioinformatics