Author

Kotaro Ukai

The University of Tokyo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Suguru FujitaiD· 1 shared Tohru TeradaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Suguru FujitaORCID

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1 paper

Recent·Most cited

UNKAI: A protein functional identity prediction model based on ESM-C latent representations and the attention mechanism

Kotaro Ukai, Suguru Fujita, Tohru Terada

This paper introduces a deep learning model that predicts if two proteins catalyze the same reaction using ESM-C latent representations and attention mechanisms, outperforming existing methods.

Computational and Structural Biotechnology Journal · Mar 1, 2026Peer-reviewedBioinformatics