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Biogenic Peptides and Their Potential Use

Yamamoto, Naoyuki, Ejiri, Masahiro, Mizuno, Seiichi·2003·Current Pharmaceutical Design

Abstract

This paper reviews bioactive peptides, biogenic peptides, opioid peptides, immunostimulating peptides, mineral soluble peptides, antihypertensive peptides and antimicrobial peptides originating from food materials and enzymatic hydrolysis of proteins. Antihypertensive peptides are extensively reviewed and have been divided into angiotensin I-converting enzyme inhibitory peptides and others. These peptides are produced in the enzymatic hydrolysate of treated food materials such as milk, animal and fish meat, maize, wheat, soybeans and egg, and also from microbe-fermented products. Peptides with strong antihypertensive effects on spontaneously hypertensive rats are discussed and are divided into high and low angiotensin I-converting enzyme inhibitory activities. In addition, new topics from our studies on antihypertensive peptides are introduced. Efficacies of these peptides in clinical studies and differences with medicinal substances are summarized. Recent studies in this area shown the possibility of using biogenic peptides for improvements in treatment or prevention of hypertension.

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Metadata

Authors
Yamamoto, N., Ejiri, M., & Mizuno, S.
Venue
Current Pharmaceutical Design
Published
2003-06-01
Volume
9
Issue
16
Pages
1345-1355
ISSN
1381-6128 (ISSN-L)
OpenAlex
W2147831158
Cited by
177
References
0
FWCI
3.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Biogenic Peptides and Their Potential Use. https://app.cochat.ai/papers/10.2174/1381612033454801
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Yamamoto, N., Ejiri, M., & Mizuno, S. (2003). Biogenic Peptides and Their Potential Use. Current Pharmaceutical Design. https://doi.org/10.2174/1381612033454801

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.