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

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

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Suguru FujitaiD· 1 shared Tohru TeradaiD· 1 shared

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2026-2026 · peak 1/yr

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Suguru FujitaORCID

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1 paper

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BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedMar 1, 2026

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.

DOI 10.34133/csbj.0206

protein sequencedeep learning

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