Author

Wenxing Hu

Tokyo Institute of TechnologyORCID 0000-0002-3041-3573Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

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Bruno A. GaëtaiD· 1 shared Chao Ye· 1 shared Masahito OhueiD· 1 shared

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2021-2024 · peak 1/yr

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Bruno A. GaëtaORCID

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2 papers

Recent·Most cited

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedMar 15, 2024

SpatialPPI: three-dimensional space protein-protein interaction prediction with AlphaFold Multimer

Wenxing Hu, Masahito Ohue

SpatialPPI predicts protein-protein interactions using 3D structural data from AlphaFold Multimer, outperforming existing methods in benchmark tests.

29 citationstop 4%

protein structuredeep learning

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BioinformaticsbioRxivPreprintMar 19, 2021

Machine learning prediction of Antibody-Antigen binding: dataset, method and testing

Chao Ye, Wenxing Hu, Bruno A. Gaëta

The paper develops a machine learning method to predict antibody-antigen binding using sequence data and evaluates it on a dataset of 600 antibodies and 50 antigens, achieving 76% classification accuracy.

3 citations

protein sequencemachine learning (classical)

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