Author

Wei He

Tsinghua UniversityORCID 0000-0001-9216-4501Unclaimed ORCID profile · follow to get notified of new preprints

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Wei He8 papers · University of Freiburg

Biology Disciplines

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Biophysics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Bin LiiD· 1 shared Guiyu Guan· 1 shared Hao Zhang· 1 shared Haoxiang LiiD· 1 shared Jiang DuiD· 1 shared Jing HuangiD· 1 shared Jinheng Pan· 1 shared Jiqing ZhengiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperMolecular Biology

Bin LiORCID

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2 papers

Recent·Most cited

BiophysicsNature Structural & Molecular BiologyPeer-reviewedSep 10, 2026

ATP-independent unfolding of ubiquitin by Ufd1 initiates Cdc48/p97-mediated substrate processing

Yanzhu Wang, Zhimin Zhang, Wei He…·Zhejian Ji

The paper shows Ufd1's UT3 domain unfolds ubiquitin in an ATP-independent manner, enabling Cdc48/p97 to process polyubiquitinated substrates.

1 citation

protein structureexperimental assay

𝕏 PostBluesky

Molecular BiologybioRxivPreprintJun 19, 2025

MFPLI: A Computational Framework for Assessing Biological Authenticity of Protein-Ligand Interactions Using Molecular Fingerprints and Structural Features

Hao Zhang, Jiqing Zheng, Haoxiang Li…·Wei He

MFPLI evaluates protein-ligand binding authenticity using deep learning with physicochemical and structural features, achieving high accuracy in distinguishing native conformations from docking poses.

DOI 10.1101/2025.06.19.659858

protein structuredeep learning

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