Author

Naoki Watanabe

National Institute of Biomedical Innovation, Health and NutritionORCID 0000-0002-6140-2762Unclaimed ORCID profile · follow to get notified of new preprints

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Naoki Watanabe1 paper · Kyoto University

Biology Disciplines

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Bioengineering· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Michihiro ArakiiD· 2 shared Akihiko KondoiD· 1 shared Christopher John VavrickaiD· 1 shared Chuya Tateishi· 1 shared Hal S. AlperiD· 1 shared Jun IshiiiD· 1 shared Junya Ikuta· 1 shared Kazuhiro Fujimori· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioengineering

Michihiro ArakiORCID

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2 papers

Recent·Most cited

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

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Systems BiologyLife Science AlliancePeer-reviewedAug 22, 2025

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

Christopher John Vavricka, Masao Mochizuki, Satoshi Yuzawa…·Michihiro Araki

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

DOI 10.26508/lsa.202403154

yeastmetabolomics

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