Author

Zhigang Cao

Zhejiang University of TechnologyORCID 0009-0008-7009-2445Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Zhigang Cao1 paper · Chinese People's Liberation Army

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

Frequent Co-Authors

Hongliang DuaniD· 2 shared Jingjing GuoiD· 2 shared Qingyi MaoiD· 2 shared Cheng ZhuiD· 1 shared Chengyun ZhangiD· 1 shared Chenhao ZhangiD· 1 shared Linghong Wang· 1 shared Ning Zhu· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Hongliang DuanORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedAug 29, 2025

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

Chengyun Zhang, Wentong Wang, Ning Zhu…·Hongliang Duan

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

12 citations

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 10, 2025

MeDCycFold: A Rosetta Distillation Model to Accelerate Structure Prediction of Cyclic Peptides with Backbone N-methylation and D-amino Acids

Zhigang Cao, Tianfeng Shang, Sen Cao…·Hongliang Duan

MeDCycFold accelerates cyclic peptide structure prediction using a deep learning-based Rosetta distillation model, achieving 49x speedup while maintaining Rosetta-level accuracy.

DOI 10.1101/2025.04.10.648099

protein structuredeep learning

𝕏 PostBluesky