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Surrey builds AI to find anti-ageing chemical compounds

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In a paper published by Nature Communication's Scientific Reports, a team of chemists from Surrey built a machine learning model based on the information from the DrugAge database to predict whether a compound can extend the life of Caenorhabditis elegans – a translucent worm that shares a similar metabolism to humans. The worm's shorter lifespan gave the researchers the opportunity to see the impact of the chemical compounds. "Ageing is increasingly being recognised 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 ageing and age-related diseases. Our study demonstrates the revolutionary ability of AI to aid the identification of compounds with anti-ageing properties." "This research shows the power and potential of AI, which is a speciality of the University of Surrey, to drive significant benefits in human health."


Artificial Intelligence Calculates Anti-Aging Properties Of Compounds

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August 31, 2021 Artificial intelligence (AI) has been paired with one of the simplest of organisms--the nematode Caenorhabditis elegans--to enlighten the scientific community about the physical and chemical properties of drug compounds with anti-aging effects, according to Brendan Howlin, reader in computational chemistry at the University of Surrey (U.K.). The predictive power of the methodology has just been demonstrated using an established database of small molecules found to extend life in model organisms. The 1,738 compounds in the DrugAge database were broadly separated into flavonoids (e.g., from fruits and vegetables), fatty acids (e.g, omega-3 fatty acids), and those with a carbon-oxygen bond (e.g., alcohol)--all heavily tied to nutrition and lifestyle choices. Pharmaceuticals could be developed based on that nutraceutical knowledge, including the importance of the number of nitrogen atoms, says Howlin. Unlike prior efforts using AI to identify compounds that slow the aging process, Howlin used machine learning to calculate the quantitative structure–activity relationship (QSAR) of molecules.


Scientists extend the lifespan of a roundworm genetically similar to humans by 500 PERCENT

Daily Mail - Science & tech

Scientists have managed to expand the lifetime of a worm by 500 per cent in a surprising discovery that could hold the secret to anti-ageing in humans. Caenorhabditis elegans, a roundworm that shares genetic traits with humans, normally lives for around three to four weeks. By tweaking a couple of cellular pathways, the US and Chinese research team were able to engineer a worm that lived for over 14 weeks – a five-fold increase. This increase in lifespan would be the equivalent of a human living for about 400 to 500 years. The discovery could lead to similar combination therapies for humans that prolong the aging process, much the same way like combination therapies are used to treat cancer and HIV today.


Deep learning transforms the drug discovery process in collaboration between Insilico Medicine and Life Extension

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In March 2016 Insilico Medicine initiated a research collaboration with Life Extension to apply advanced bioinformatic methods and deep learning algorithms to screen for naturally occurring compounds that may slow down or even reverse the cellular and molecular mechanisms of aging. Today Life Extension (LE) launched a new line of nutraceuticals called GEROPROTECTTM, and the first product in the series called Ageless CellTM combines some of the natural compounds that were shortlisted by Insilico Medicine's algorithms and are generally recognized as safe (GRAS). "Life Extension's mission is to extend the healthy human lifespan; and as such, we are focused on identifying natural products with critical health and wellness properties," said Andrew G. Swick, PhD, senior vice president of scientific affairs, discovery research and product development for Life Extension. "Our collaboration with Insilico Medicine fostered a novel approach to formulating anti-aging supplements utilizing artificial intelligence and sophisticated biologically-inspired algorithms and resulted in the very first AI formulated supplement," Swick said. The global nutraceuticals market was valued at US$165.62 billion in 2014 by Transparency Market Research and is expected to reach US$278.96 billion by 2021.


Worms genetically predisposed to die early to cut food demand

Daily Mail - Science & tech

Some animals are genetically predisposed to die before reaching old age to benefit the rest of the colony, according to a new British study. Caenorhabditis elegans, a roundworm that shares genetic traits with humans, is programmed to die early to reduce its colony's demand for food, scientists say. These organisms possess a genetic'self-destruct programme', preventing them from living beyond a certain age to benefit younger worms. Mutations to these C. elegans genes can massively increase their lifespan, most likely by switching off their life-shortening programme. The new study is said to be the first evidence of programmed, adaptive death in an animal that has evolved for the benefits to its wider community.