Using artificial intelligence, researchers try to create anti-aging drug – Okezone techno

JAKARTA – The development of artificial intelligence (AI) or artificial intelligence is increasingly widespread. The latest is reportedly that the technology is being used by researchers at the University of Edinburgh to produce anti-aging drugs.

As Science Focus reported on Monday (7/8/2023), they were determined to find a molecule that could overcome cell aging in minutes. This means that the molecule will fight humanity’s biggest problem.

Of note, AI has actually been used in the world of drug discovery. But this is the first time it has been used to create a senolytic drug that can slow aging and prevent age-related diseases.

Using artificial intelligence, the development of costly and time-consuming senolic drugs can be suppressed. Vanessa Smer-Barreto, a researcher at the Institute of Genetics and Molecular Medicine, said AI is one solution to the problem at hand.

“Generating your own biological data can be very expensive and time-consuming, even just to collect training data. What makes our approach different is that we are trying to do it with limited funds,” said Vanessa.

“We took training data from existing literature and looked at how to leverage it with machine learning to speed things up,” he continues.

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Using an AI algorithm, he was able to come up with three promising options for this type of drug. To do this Vanessa provides examples of senolytic and non-cenolytic AI models, teaching the AI ​​model to distinguish between the two.

A total of 4,340 molecules were fed into the AI ​​model, returning a list of results in just five minutes. The model identified 21 molecules with the highest scores that are considered senolytics.

Of the 21 molecules with the highest scores, three were able to kill aging cells while keeping normal cells alive. These new senolytics were then tested further to understand how they interact with the body.

Without a machine learning model, this process could take weeks and a large amount of money. While this study was successful, it is only the beginning of the research as much remains to be done for more mature results.

“The next step is to work with doctors at my university to try and test the drug that we found in strong samples of human lung tissue,” Vanessa explains.

“Drugs have to go through many stages beforehand, and even if they get to market, they’ll first have to pass a series of safety tests,” he said.

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