Author

Manabu Okumura

Tokyo Institute of TechnologyORCID 0009-0001-7730-1536Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Yiming ZhangiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJan 18, 2024

ProtHyena: A fast and efficient foundation protein language model at single amino acid resolution

Yiming Zhang, Manabu Okumura

ProtHyena is a foundation protein language model that efficiently processes long protein sequences at the single amino acid level with reduced computational complexity.

5 citations

protein sequencedeep learning

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