artificial intelligence (AI) continues to trace his path but not only in art and technology, but also in the medicine. Proof of this is the design of a potential drug to combat liver cancer in which the Mexican scientist Alan Asparu Button has worked.
A recent study, carried out through the AI system AlphaFold, achieved that several researchers might predict the structure of the molecule that would help fight cancer; and in just 30 days. The scientists discovered weak spots in proteins of this disease, which might help the production of drugs.
Involved in this achievement was Asparu Guzik, current director of the Acceleration Consortium at the University of Toronto; physicist Michael Levitt, Nobel Prize in Chemistry; and Alex Zhavoronkov, CEO of Insilico Medicine.
Under the direction of Asparu Guzik, of Mexican descent and raised in Mexico City, one might slow growth of cancer in the liver, so clinical tests would only have to be done in animals —and later in people— to verify its effectiveness.
“Artificial intelligence sped up that initial process, which typically takes six months to a year, to a month. that encourages us“, declared Asparu Guzik in an interview with EFE.
“More accessible”
For the researcher, applying AI in other areas the development of medicines might reduce time, costs and make the purchase of drugs more accessible.
Although Insilico Medicine has indicated that it is not interested in entering the Test phaseother researchers or pharmaceutical companies might be willing to put the new discovery to the test.
Alan Asparu-Guizik is a professor of chemistry, computer science and chemical engineering in Toronto. His passion for science began during his years in Mexico, following participating in the International Chemistry Olympiad at an early age. He was also an assistant and professor at the Harvard University.
“I am optimistic. I think that AI is going to help us in the development of molecules in general,” he told EFE. However, it is clear that people medical experts and research will always be a key piece for it. MRI
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