AI Reduces Timescale of Early Drug Development to Weeks

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AI Reduces Timescale of Early Drug Development to Weeks
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The process of finding potential drugs for human diseases is being revolutionized by AI discovery engines.

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The team began by choosing a disease to focus on. They picked a type of liver cancer called hepatocellular carcinoma, which currently lacks effective treatments. “The incidence rate of liver cancer is very close to its mortality rate due to very poor prognosis in all regions around the world,” say the team.

Ren and co say this AI engine produced a list of the top 20 proteins that might be promising targets. From this list, the team selected one to study further, a protein called CDK20 involved in regulating the way a cell grows and divides. Various lines of evidence suggest that CDK20 is overexpressed in tumors associated with hepatocellular carcinoma and in other cancers.

Of course, this does not make ISM042-2-001 a potential treatment for hepatocellular carcinoma, only a promising molecule for future research. Far more work needs to be done to determine the properties of ISM042-2-001 before considering it for clinical trials when a drug might be used in humans. Many molecules that initially appear promising fall by the wayside during this process.

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