Prediction, Discovery, and Characterization of Plant- and Food-Derived Health-Beneficial Bioactive Peptides.
Martin KussmannPublished in: Nutrients (2022)
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.
Keyphrases
- healthcare
- artificial intelligence
- public health
- human health
- endothelial cells
- mental health
- small molecule
- end stage renal disease
- health information
- machine learning
- risk assessment
- newly diagnosed
- ejection fraction
- big data
- deep learning
- chronic kidney disease
- high throughput
- health promotion
- amino acid
- peritoneal dialysis
- cancer therapy
- drug delivery
- current status
- sensitive detection
- cell wall
- health insurance
- patient reported outcomes
- single molecule
- patient reported
- tissue engineering