Author

Wenxing Hu

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

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

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 1 mutual co-author link

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Bruno A. GaëtaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

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.

Computational and Structural Biotechnology Journal · Mar 15, 2024Peer-reviewedBioinformatics

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.

bioRxiv · Mar 19, 2021 · PreprintBioinformatics