Yamamoto, Naoyuki
Tokyo Institute of Technology
7 papers on CoChatORCID 0000-0001-6546-1404
Most cited papers
- Verified
Antihypertensive effect of the peptides derived from casein by an extracellular proteinase from Lactobacillus helveticus CP790
Yamamoto, N., Akino, A., & Takano, T. (1994) · Journal of Dairy Science
Protein Hydrolysis and Bioactive PeptidesRenin-Angiotensin System Studies
Cited by 418
- Verified
Purification and characterization of an antihypertensive peptide from a yogurt-like product fermented by Lactobacillus helveticus CPN4.
Yamamoto, N., Maeno, M., & Takano, T. (1999) · Journal of Dairy Science
Protein Hydrolysis and Bioactive PeptidesProbiotics and Fermented Foods
Cited by 266
- Verified
Purification and characterization of an endopeptidase that has an important role in the carboxyl terminal processing of antihypertensive peptides in Lactobacillus helveticus CM4
Ueno, K., Mizuno, S., & Yamamoto, N. (2004) · Letters in Applied Microbiology
Protein Hydrolysis and Bioactive PeptidesProbiotics and Fermented Foods
Cited by 46
- Verified
Antihypertensive Peptides Specific to Lactobacillus helveticus Fermented Milk
Wakai, T., & Yamamoto, N. (2012) · Biotechnology - Molecular Studies and Novel Applications for Improved Quality of Human Life
Protein Hydrolysis and Bioactive PeptidesProbiotics and Fermented Foods
Cited by 36
- Verified
Classification of Lactobacillus helveticus Strains by Immunological Differences in Extracellular Proteinases
YAMAMOTO, N., ONO, H., MAENO, M., UEDA, Y., TAKANO, T., & MOMOSE, H. (1998) · Bioscience, Biotechnology, and Biochemistry
Probiotics and Fermented FoodsEnzyme Production and Characterization
Cited by 17
- Verified
Exploration of DPP-IV Inhibitory Peptide Design Rules Assisted by the Deep Learning Pipeline That Identifies the Restriction Enzyme Cutting Site
Guan, C., Luo, J., Li, S., Tan, Z. L., Wang, Y., Chen, H., Yamamoto, N., Zhang, C., Lu, Y., Chen, J., et al. (2023) · ACS Omega
Computational Drug Discovery MethodsMachine Learning in Bioinformatics
Cited by 13
- Verified
Exploration of DPP-IV inhibitory peptide design rules assisted by deep learning pipeline that identifies restriction enzyme cutting site
Guan, C., Luo, J., Li, S., Tan, Z. L., Wang, Y., Chen, H., Yamamoto, N., Zhang, C., Lu, Y., Chen, J., et al. (2022) · ACS Omega
Computational Drug Discovery MethodsMachine Learning in Bioinformatics
Cited by 13
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free