AlphaFold Predicts Hundreds of Thousands of New Psychedelic Drug Leads for Antidepressant Research
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Researchers used AlphaFold predictions to identify hundreds of thousands of potential new psychedelic molecules that could lead to new antidepressants.
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Some studies found AlphaFold less useful than experimental structures for identifying drugs, but a new study found AlphaFold identified different but equally promising compounds.
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AlphaFold could be game-changing for drug discovery by providing protein structures that are difficult to determine experimentally.
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AlphaFold is not universally useful - predictions are helpful for some drug targets but not others.
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DeepMind's drug discovery spinoff Isomorphic Labs is betting big on using AlphaFold and other AI tools to aid in pharmaceutical research.