Author

Hikaru Nakazawa

Tohoku UniversityORCID 0000-0003-2785-237XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1

Frequent Co-Authors

Mitsuo UmetsuiD· 1 shared Sakiya KawadaiD· 1 shared Tomoyuki ItoiD· 1 shared Yoichi KurumidaiD· 1 shared Yutaka SaitoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioengineering

Mitsuo UmetsuORCID

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintJun 1, 2026

Exploring diverse routes to high-affinity-antibody variable domains through deep-sequencing-informed machine learning

Sakiya Kawada, Tomoyuki Ito, Hikaru Nakazawa…·Mitsuo Umetsu

This study uses deep sequencing and machine learning to optimize antibody discovery by analyzing training data and search space design for high-affinity VHHs.

DOI 10.64898/2026.05.28.728451

proteomicsdeep learning

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