Author

Hedi Chen

State Key Laboratory of Molecular OncologyORCID 0000-0003-3922-2156Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

Boxue TianiD· 2 shared Xiaonan ZhangiD· 2 shared Bailong XiaoiD· 1 shared Feng QianiD· 1 shared Jingke Chen· 1 shared Jingrui Zhong· 1 shared Lihang LiuiD· 1 shared Lin GuoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Boxue TianORCID

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2 papers

Recent·Most cited

BioinformaticsAdvanced SciencePeer-reviewedFeb 5, 2026

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Hedi Chen, Jingrui Zhong, Xiaochun Zhang…·Boxue Tian

The paper introduces a toolkit using protein language models to define 'protein words' for functional prediction, outperforming motif-based methods across multiple tasks.

4 citationstop 4%

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticseLifePeer-reviewedJun 26, 2024

H3-OPT: Accurate prediction of CDR-H3 loop structures of antibodies with deep learning

Hedi Chen, Xiaoyu Fan, Shuqian Zhu…·Boxue Tian

H3-OPT predicts CDR-H3 loop structures of antibodies with high accuracy using deep learning, outperforming existing methods on a high-quality dataset.

16 citations

protein structuredeep learning

𝕏 PostBluesky