Author

Michihiro Araki

Ritsumeikan UniversityORCID 0000-0002-6686-4018Unclaimed 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 Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Naoki WatanabeiD· 2 shared Shuhei NodaiD· 2 shared Akihiko KondoiD· 1 shared Anoop Kumar G. VelikkakathiD· 1 shared Christopher John VavrickaiD· 1 shared Chuya Tateishi· 1 shared Hal S. AlperiD· 1 shared Jun IshiiiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioengineering

Naoki WatanabeORCID

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3 papers

Recent·Most cited

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

Sandra Francis, Rahad Rehas, Yuttamol Muangkram, Niyas Rehman, Anoop Kumar G. Velikkakath, Shuhei Noda, 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.

bioRxiv · Sep 18, 2026 · PreprintSystems Biology

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, Yuki Kuriya, Naoki Watanabe, Chuya Tateishi, Takuya Hashimoto, Manabu Kanno, Shuhei Noda, Michihiro Araki, Kazuhiro Fujimori, 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.

bioRxiv · Sep 11, 2026 · PreprintBioengineering

Genome-scale prediction of gene ontology from mass fingerprints reveals new metabolic gene functions

Christopher John Vavricka, Masao Mochizuki, Satoshi Yuzawa, Masahiro Murata, Takanobu Yoshida, Naoki Watanabe, Masahiko Nakatsui, Jun Ishii, Kiyotaka Y. Hara, Hal S. Alper, Tomohisa Hasunuma, Akihiko Kondo, Michihiro Araki

This study uses MALDI-TOF mass fingerprints to predict gene ontology annotations in yeast knockouts, identifying new metabolic gene functions.

Life Science Alliance · Aug 22, 2025Peer-reviewedSystems Biology