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China approves first AI-developed drug

From Tengrinews · () English

Summarized by DistantNews. Read the original for the full story.

At a glance

News Official statement Approved/passed
  • China has approved Mprosevir, described as the country’s first Class 1 innovative drug developed with artificial intelligence.
  • The drug targets mild to moderate COVID-19 in adults and took 3.5 years to move from compound identification through clinical trials.
  • Researchers used AI to screen a database of 49 billion molecular compounds and support later drug optimization.

China has approved Mprosevir, the first Class 1 innovative medicine developed with the use of artificial intelligence, according to the country’s National Medical Products Administration and Global Times.

The drug is intended for adults with mild to moderate COVID-19. Its development took 3.5 years, from identifying a promising compound to completing clinical trials. Conventional development of a similar drug usually takes 10 to 15 years.

Scientists and AI analyzed a database containing 49 billion molecular compounds. The process identified potential candidates within days. The development team then spent two years optimizing the selected molecule, improving its activity and drug-like properties, reducing toxicity, and moving it from laboratory cell tests and mouse studies into clinical trials.

The team said Mprosevir showed that AI-assisted drug development is now both efficient and feasible. In China, Class 1 medicines are fully original innovative drugs that have not previously been marketed domestically or overseas. The report also noted Kazakhstan’s plans to use AI to forecast medicine demand and identify fraudulent prescriptions.

Mprosevir has demonstrated that genuine AI-assisted drug development is currently both efficient and feasible.

· Mprosevir research and development teamThe team described what it considered the significance of the drug’s accelerated development process.
About this summary

Originally published by Tengrinews. Summarized and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.