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Metabolic Information Engineering Lab [Graduate School of Information Science and Technology]
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The lab designs the metabolism of microorganisms to optimize the production of useful substances.

AboutAbout the lab
Combining wet-lab and computational approaches to drive innovation in biotechnology.
The Metabolic Information Engineering Lab develops methods to improve cells to an optimal state for microbial production of useful substances.
Using genome-scale metabolic models that cover the whole cell, the lab designs desirable metabolic states on a computer and then breeds strains that realize them.
Through metabolic flux analysis using 13C stable isotope labeling, the lab captures the flow of cellular metabolism experimentally and combines it with computational analysis.
On the lab's website, it is also introduced under the name "Shimizu Lab."
Key terms
- Genome-scale metabolic model
- A model that covers the whole cell and represents the metabolic reactions occurring inside it as a whole
- Metabolic flux
- The flow of metabolism in a cell. Metabolism is organized and optimized with a focus on this flow
- 13C stable isotope labeling
- Cells take up a compound labeled with 13C, and where the label ends up is examined by mass spectrometry to determine the metabolic flux
NewsLab news
A master's student won the Bio Division Excellent Poster Award at the 57th Autumn Meeting of the Society of Chemical Engineers, Japan
Research by Project Assistant Professor Imada was published in Bioscience, Biotechnology, and Biochemistry
Research by a graduate was published in ACS Chemical Biology
A student won the Graduate School of Information Science and Technology Award
Research by a graduate was published in Metabolic Engineering Communications
ResearchResearch themes
The lab views cellular metabolism as a multi-step reaction process and has advanced metabolic engineering, which rationally optimizes metabolism. It has developed genome-wide metabolic reaction models and in silico metabolic design methods, demonstrated their effectiveness through genetic manipulation, and evaluates cell states by metabolic flux analysis using 13C stable isotope labeling.
View More ↗MembersFaculty
The members of the Metabolic Information Engineering Lab consist of faculty, project researchers, technical assistants, administrative assistants, PhD, master's, and undergraduate students, and collaborators.As of 2026
- ProfessorHiroshi Shimizu
- Associate ProfessorYoshihiro Toya
- Assistant ProfessorTeppei Niide
- Project Assistant ProfessorTatsumi Imada
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Yeast culture plate” BMC bildes / CC BY-SA 3.0 (cropped)
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