Author

Weifeng Ge

Fudan UniversityORCID 0000-0002-6258-6225Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Chao PengiD· 1 shared Charles HuangiD· 1 shared Fandi WuiD· 1 shared Jiale Shi· 1 shared Jianhua YaoiD· 1 shared Peize ZhaoiD· 1 shared Qingyuan XuiD· 1 shared Quanxiao LiiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Chao PengORCID

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2 papers

Recent·Most cited

BioinformaticsCell DiscoveryPeer-reviewedOct 29, 2025

A synergistic generative-ranking framework for tailored design of therapeutic single-domain antibodies

Yu Kong, Jiale Shi, Fandi Wu…·Tianlei Ying

This paper introduces TFDesign-sdAb, a deep learning framework for designing therapeutic single-domain antibodies with tailored functionalities, achieving high success rates in generating Protein A-binding sdAbs.

2 citations

humanprotein structure

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 20, 2023

AbFold -- an AlphaFold Based Transfer Learning Model for Accurate Antibody Structure Prediction

Chao Peng, Zelong Wang, Peize Zhao…·Charles Huang

AbFold improves antibody structure prediction by refining 3D point clouds and using unsupervised learning, achieving better accuracy than AlphaFold and IgFold for CDR loops.

3 citations

protein structuredeep learning

𝕏 PostBluesky