Takeyuki Tamura

The paper develops an algorithm to achieve growth coupling for metabolite production in yeast under anaerobic conditions, achieving success for 91.3% of metabolites.

The paper introduces a grid-based computational method to design minimum metabolic networks for simulating metabolite production, achieving higher production rates than existing methods.

The paper identifies effective essential amino acid uptake ratios for cancer therapy using metabolic models, showing that single amino acid restriction can inhibit cancer growth while supporting normal cell growth.