…thousands of possible psychedelics
“AlphaFold is an absolute revolution. If we have a good structure, we should be able to use it for drug design,” says Jens Carlsson, a computational chemist at the University of Uppsala in Sweden.
Efforts to apply AlphaFold to finding new drugs have been met with considerable skepticism, says Brian Shoichet, a pharmaceutical chemist at the University of California, San Francisco. “There is a lot of hype. Whenever anybody says ‘such and such is going to revolutionize drug discovery’, it warrants some scepticism.” On 7 January 2024, the company announced deals worth a minimum of US$82.5 million – and up to $2.9 billion if business targets are met – to hunt for drugs on behalf of pharmaceutical giants Novartis and Eli Lilly using machine-learning tools such as AlphaFold.
Original Article (Nature):
AlphaFold found thousands of possible psychedelics. Will its predictions help drug discovery?
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