Author

Shuhei Noda

Ritsumeikan UniversityORCID 0000-0001-5430-1966Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:E. coli· 2 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Michihiro ArakiiD· 2 shared Anoop Kumar G. VelikkakathiD· 1 shared Chuya Tateishi· 1 shared Junya Ikuta· 1 shared Kazuhiro Fujimori· 1 shared Manabu KannoiD· 1 shared Masaki Yamamoto· 1 shared Myco UmemuraiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersSystems Biology

Michihiro ArakiORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintSep 18, 2026

Threonine Supplementation Reduces Methylglyoxal Overflow by Increasing Glycolysis Flux at the Payoff Phase: A Metabolic Modeling Analysis

Sandra Francis, Rahad Rehas, Yuttamol Muangkram…·Michihiro Araki

This study uses metabolic modeling to show that threonine supplementation reduces methylglyoxal overflow in E. coli by enhancing glycolytic flux, with limited effect under hypoxic conditions.

DOI 10.64898/2026.09.17.751990

E. colimetabolomics

𝕏 PostBluesky

BioengineeringbioRxivPreprintSep 11, 2026

Machine-learning-guided enzyme discovery and redox-system engineering for efficient production of the nylon monomer methyl 12-aminododecanoate in Escherichia coli

Myco Umemura, Yasushi Kamisaka, Masaki Yamamoto…·Junya Ikuta

This study uses machine learning to discover enzymes for producing ADAME in E. coli, achieving a 5.6-fold improvement over existing methods.

DOI 10.64898/2026.09.10.749670

E. coliproteomics

𝕏 PostBluesky