Author

Hidetomo Yokoo

National Institute of Health SciencesORCID 0000-0002-9354-6592Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Approach:optimal transport· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Iori YamahataiD· 1 shared Shuto HayashiiD· 1 shared Teppei ShimamuraiD· 1 shared Yosuke DemizuiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Iori YamahataORCID

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1 paper

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BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedSep 10, 2026

Closed-Loop Multi-Objective Optimization for Receptor-Selective Cell-Penetrating Peptide Design

Iori Yamahata, Hidetomo Yokoo, Yosuke Demizu…·Shuto Hayashi

The paper develops a closed-loop framework for designing receptor-selective cell-penetrating peptides using multi-objective optimization and evaluates its effectiveness through experimental validation.

DOI 10.1021/acs.jcim.6c01267

protein sequencemachine learning (classical)