Artificial Intelligence Shakes Up Drug Discovery

The pharmaceutical industry is looking to machine learning to overcome complex challenges in drug development.

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Australia’s government drug safety watchdog sounded the alarm about the oral antifungal agent terbinafine in 1996. The drug, sold under the brand name Lamisil by pharma giant Novartis, had come onto the market in 1993 for the treatment of fungal skin infections and thrush. But three years later, the agency had received a number of reports of suspected adverse reactions, including 11 reports of liver toxicity. By 2008, three deaths from liver failure and 70 liver reactions had been pinned on oral terbinafine.

Researchers in Canada identified the biochemical culprit behind terbinafine’s liver toxicity—a compound called TBF-A that appeared to be a metabolite of terbinafine—in 2001. Clinicians quickly learned to monitor and manage this potential toxicity during treatment, but no one could work out how the compound actually formed in the liver, or could experimentally reproduce its synthesis from terbinafine in the lab.

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Meet the Author

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    Bianca Nogrady

    Bianca Nogrady is a freelance science journalist and author who is yet to meet a piece of research she doesn't find fascinating.

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