Nearly all known protein structures predicted by AlphaFold

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Nearly all known protein structures predicted by AlphaFold
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You may have seen the AlphaFold protein-folding news. We spoke to some in the industry. Is the hype justified?

to contain over 200 million 3D shapes of proteins from animals to plants, bacteria to viruses – an increase of more than 200x from nearly a million molecules to at least 200 million molecules in just a year.

It's not clear how fully accurate AlphaFold's predictions are. A protein's ribbon-like structure often changes shape when it interacts with a drug, something AlphaFold cannot help scientists with as it's not trained on that. Zhavoronkov said the model is a"pretty remarkable breakthrough" but was wary of all the hype.

Big pharma want to see molecules designed with the help of AI tools like AlphaFold actually tested in mice and humans."Pure algorithmic achievements are not valuable to the pharma companies and especially to the patients," Zhavoronkov added. It has yet to be seen if the protein structures will be useful enough ... to help us discover new potential drugs for rare disease

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