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Prediction, Discovery, and Characterization of Plant- and Food-Derived Health-Beneficial Bioactive Peptides

期刊

NUTRIENTS
卷 14, 期 22, 页码 -

出版社

MDPI
DOI: 10.3390/nu14224810

关键词

bioactive; peptide; nutrition; food; plant; ingredient; supplement; artificial intelligence; design; peptidomics; mass spectrometry; discovery; validation; in vitro biology; manufacturing; sustainability

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Nature's bioactive substances offer potential solutions to human, animal, and environmental health issues. However, the utilization of bioactive peptides and natural bioactives has been underdeveloped. The future lies in employing systems-level and artificial intelligence approaches to better understand their functions and accelerate the development and implementation of solutions.
Nature may have the answer to many of our questions about human, animal, and environmental health. Natural bioactives, especially when harvested from sustainable plant and food sources, provide a plethora of molecular solutions to nutritionally actionable, chronic conditions. The spectrum of these conditions, such as metabolic, immune, and gastrointestinal disorders, has changed with prolonged human life span, which should be matched with an appropriately extended health span, which would in turn favour more sustainable health care: adding years to life and adding life to years. To date, bioactive peptides have been undervalued and underexploited as food ingredients and drugs. The future of translational science on bioactive peptides-and natural bioactives in general-is being built on (a) systems-level rather than reductionist strategies for understanding their interdependent, and at times synergistic, functions; and (b) the leverage of artificial intelligence for prediction and discovery, thereby significantly reducing the time from idea and concept to finished solutions for consumers and patients. This new strategy follows the path from benefit definition via design to prediction and, eventually, validation and production.

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