Author

Hayato Tsumura

Kyoto University

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 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Aki Hasegawa· 1 shared Arata Shirakami· 1 shared Eita NakamuraiD· 1 shared Haruhisa InoueiD· 1 shared Hiroaki IwataiD· 1 shared Keiko ImamuraiD· 1 shared Kimihiro YamazakiiD· 1 shared Kouki Matsuda· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aki Hasegawa

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2 papers

Recent·Most cited

BioinformaticsJournal of CheminformaticsPeer-reviewedJan 30, 2026

Chemical Genomics Language Model toward Reliable and Explainable Compound-Protein Interaction Exploration

Takuto Koyama, Hayato Tsumura, Ryunosuke Okita…·Yasushi Okuno

This paper introduces ChemGLaM, a chemical genomics language model for reliable and explainable compound-protein interaction predictions, achieving state-of-the-art performance and enabling drug/target exploration for ALS.

9 citationstop 1%

proteomicsdeep learning

𝕏 PostBluesky

NeurosciencebioRxivPreprintMar 5, 2023

Deep neural generation of neuronal spikes.

Ryota Nakajima, Arata Shirakami, Hayato Tsumura…·Masanori Shimono

This study uses a multi-layer LSTM model to generate neuronal spike activity between disconnected brain regions, showing similar accuracy to within-region generation and revealing associations with structural connectivity and distance.

1 citation

electronic health recordsdeep learning

𝕏 PostBluesky