Author

Kyohei Koyama

National Institute of Biomedical Innovation, Health and NutritionORCID 0000-0002-1981-9476Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:protein sequence· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Chioko NagaoiD· 1 shared Kenji MizuguchiiD· 1 shared Kosuke HashimotoiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Chioko NagaoORCID

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1 paper

Recent·Most cited

An attention network for predicting T cell receptor-peptide binding can associate attention with interpretable protein structural properties

Kyohei Koyama, Kosuke Hashimoto, Chioko Nagao, Kenji Mizuguchi

This paper develops a Transformer-based model to predict TCR-peptide binding using amino acid sequences and associates attention weights with structural properties.

Frontiers in Bioinformatics · Dec 18, 2023Peer-reviewedBioinformatics