Author

Ryohei Yamaguchi

Asahi Glass (Japan)ORCID 0009-0003-0289-9451Unclaimed 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:deep learning· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Chinatsu MoriiD· 1 shared Sota InoueiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Chinatsu MoriORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 7, 2026

Distribution-Constrained Optimization for Reliable ML-Guided 5'UTR Sequence Design

Ryohei Yamaguchi, Chinatsu Mori, Sota Inoue

This paper introduces a constrained optimization method for designing 5'UTR sequences using deep learning models, ensuring candidates stay within a trust region defined by an OOD score based on KNN distance.

DOI 10.64898/2026.08.03.742388

proteomicsdeep learning

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