AI develops potentially effective liver cancer drug in 30 days
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Scientists at the University of Toronto and biotech company Insilico Medicine have used artificial intelligence (AI) to create a drug that could potentially treat a form of liver cancer called hepatocellular carcinoma. It took the AI just 30 days to develop the treatment.
How reported at the University of Toronto website, the scientists used Google’s DeepMind’s AI-based software AlphaFold, which is capable of predicting the spatial structure of a protein, and the Pharma.AI platform. Scientists using AI scanned cancer cells to find possible weaknesses. This weak point, according to AI, turned out to be a little-known protein CDK20 (cyclin-dependent kinase). The AlphaFold program predicted the spatial structure of this protein and also pointed out its vulnerabilities. Entering the findings into Pharma.AI, the scientists obtained data on a drug that could target this protein and potentially treat carcinoma.
Hepatocellular carcinoma is a rapidly developing disease that is more often found in people already in the last stages. Every year it is detected in about 600 thousand patients in the world. Now scientists at the University of Toronto intend to conduct clinical studies of the resulting drug. According to them, the work done clearly confirms the “revolutionary potential” of the use of AI in medical research, since it used to take years or even decades to develop drugs. The results of the study are published in magazine chemical science.
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