Author

Ryo Tachibana

The University of TokyoORCID 0000-0002-7229-3370Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Cancer Biology· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Kyohhei FujitaiD· 2 shared Mako KamiyaiD· 2 shared Ryosuke KojimaiD· 2 shared Yasuteru UranoiD· 2 shared Akihiro NakadaiD· 1 shared Andreas KrauseiD· 1 shared Christian SchellhaasiD· 1 shared Gregor W. SchmidtiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersCancer Biology

Kyohhei FujitaORCID

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3 papers

Recent·Most cited

Enzyme activity as an actionable axis for small-molecule precision oncology

Kyohhei Fujita, Mako Kamiya, Shingo Dan, Ryo Tachibana, Minoru Kawatani, Ryosuke Kojima, Rumi Hino, Kimihiko Kobayashi, Shotaro Inoue, Miyuki Tani, Yuko Hirata, Shun Kawashima, Kanami Yamazaki, Yumiko H. Nishimura, Yoshimi Ohashi, , Yasuteru Urano

This paper develops enzyme activity-based prodrugs for precision oncology, showing reduced toxicity and improved efficacy in tumor models.

bioRxiv · Apr 15, 2026 · PreprintCancer Biology

Low-Background Cancer Imaging With a Bioorthogonal Fluorescence Probe and Engineered Reporter Enzyme Bearing a Targeting Moiety

Ziyi Wang, Ryosuke Kojima, Rikuki Kiji, Kyohhei Fujita, Ryo Tachibana, Reiko Tsuchiya, Taku Uchiyama, Yoshihiro Minagawa, Tadahaya Mizuno, Kiyohiko Igarashi, Hiroyuki Noji, Mako Kamiya, Yasuteru Urano

The paper develops a bioorthogonal fluorescence probe and engineered enzyme for low-background cancer imaging in mouse models.

Journal of the American Chemical Society · Feb 27, 2026Peer-reviewedBioengineering

Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning

Tobias Vornholt, Mojmír Mutný, Gregor W. Schmidt, Christian Schellhaas, Ryo Tachibana, Sven Panke, Thomas R. Ward, Andreas Krause, Markus Jeschek

This paper improves enzyme engineering by combining active learning and experimental screening to efficiently discover high-performing artificial metalloenzymes.

ACS Central Science · May 22, 2024Peer-reviewedSynthetic Biology