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The University of Surrey has built an artificial intelligence (AI) model that identifies chemical compounds that promote healthy aging, paving the way for pharmaceutical innovations that extend a person’s lifespan.
In an article published by Nature Communication’s Scientific reports, a team of chemists from Surrey built a machine learning model based on information from the DrugAge database to predict whether a compound can prolong the life of Caenorhabditis elegans, a translucent worm that shares a metabolism similar to that of humans . The worm’s shorter lifespan gave researchers the opportunity to see the impact of chemical compounds.
AI has identified three compounds that have an 80% chance of increasing the lifespan of elegans:
- flavonoids (antioxidant pigments found in plants that promote cardiovascular health),
- fatty acids (such as omega 3), and
- Organo-oxygen (compounds that contain carbon-oxygen bonds, such as alcohol).
Sofia Kapsiani, co-author of the study and final year undergraduate student at the University of Surrey, said:
“Aging is increasingly recognized as a set of diseases in modern medicine, and we can apply the tools of the digital world, such as AI, to help slow down or protect against aging and related diseases. age. Our study demonstrates the revolutionary ability of AI to help identify compounds with anti-aging properties. “
Dr Brendan Howlin, lead author of the study and senior lecturer in computational chemistry at the University of Surrey, said:
“This research shows the power and potential of AI, which is a specialty of the University of Surrey, to generate significant human health benefits.”
Source of the story:
Material provided by University of Surrey. Note: Content can be changed for style and length.
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