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AstraZeneca taps AI for drug discovery in deal with Berg
2017年8月28日 / 下午2点04分 / 3 个月前

AstraZeneca taps AI for drug discovery in deal with Berg

LONDON, Aug 28 (Reuters) - AstraZeneca has forged a research collaboration with Boston-based Berg, a specialist in artificial intelligence for drug hunting, in the latest sign of big pharma’s interest in using supercomputers for drug discovery.

The tie-up will focus on finding and evaluating novel ways of treating Parkinson’s disease and other neurological disorders.

Financial terms were not disclosed but the deal involves AstraZeneca providing Berg with chemical fragments that the U.S. company will search for potential drug candidates.

Berg’s scientists have already used AI to find novel biological targets for new medicines by comparing detailed data from tissue samples collected from diseased and healthy individuals.

AstraZeneca will have the right to secure an exclusive licence to any of the drug candidates coming out of the work.

A growing number of big pharmaceutical companies, including GlaxoSmithKline, Sanofi and Merck are exploring the potential of AI through alliances with start-ups.

The aim is to harness modern computing systems to predict how molecules will behave and how likely they are to make a useful drug, thereby saving time and money on unnecessary tests.

“2017 has really been the year when AI has been taken seriously and we are now seeing early signs of adoption and implementation in the broader industry,” Niven Narain, chief executive of privately owned Berg, told Reuters. “In prior years there was some scepticism.”

For Berg, which also has its own experimental cancer drugs developed using AI in clinical trials, the deal with AstraZeneca is its first major pharma collaboration.

Narain expects to announce more partnerships soon. “We have a few that are very close to being finalised,” he said.

Other young companies in the AI drug discovery sector include Britain’s BenevolentAI and Exscientia, and U.S. based firms Numerate, twoXAR, Atomwise and InSilico Medicine. (Reporting by Ben Hirschler; Editing by Elaine Hardcastle)

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