Author

Yaling Wu

Macao Polytechnic 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:deep learning· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Research Focus:benchmarking· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Chengyun ZhangiD· 2 shared Hongliang DuaniD· 2 shared JINGJING GUOiD· 2 shared Cheng ZhuiD· 1 shared Chenhao ZhangiD· 1 shared Chongyang LiiD· 1 shared Hanjie Yang· 1 shared Hongli HouiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Chengyun ZhangORCID

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2 papers

Recent·Most cited

HighFold-Lasso: Topology-Guided Prediction of Lasso Peptide Structures Using AlphaFold3

Sen Cao, Chengyun Zhang, Hanjie Yang, Yutong Ge, Hongli Hou, Zhu Ning, Yaling Wu, Jisong Mo, Juan Guo, Chongyang Li, JINGJING GUO, Hongliang Duan

HighFold-Lasso predicts lasso peptide structures using topology-guided methods, achieving perfect topology success and low RMSD on a test set of 52 structures.

bioRxiv · Oct 16, 2026 · PreprintBioinformatics

AlphaFold3 for Non-canonical Cyclic Peptide Modeling: Hierarchical Benchmarking Reveals Accuracy and Practical Guidelines

Chengyun Zhang, Wentong Wang, Ning Zhu, Zhigang Cao, Yaling Wu, Qingyi Mao, Cheng Zhu, Chenhao Zhang, Jingjing Guo, Hongliang Duan

This study evaluates AlphaFold3's accuracy in predicting non-canonical cyclic peptides and provides guidelines for its application.

Journal of Chemical Information and Modeling · Aug 29, 2025Peer-reviewedBioinformatics