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DeepMind research cracks structure of almost every known protein

Posted on July 29, 2022 by Xordac Prime
An image released by the EMBL’s European Bioinformatics Institute showing the structure of a human protein that was modeled by the AlphaFold computer program.

Enlarge / An image released by the EMBL’s European Bioinformatics Institute showing the structure of a human protein that was modeled by the AlphaFold computer program. (credit: EMBL-EBI/AFP/Getty Images)

Artificial intelligence has surpassed the limits of scientific knowledge by predicting the shape of almost every known protein, a breakthrough that will significantly reduce the time required to make biological discoveries.

The research was done by London-based AI company DeepMind—owned by Google parent Alphabet—which used its AlphaFold algorithm to build the most complete and accurate database yet of the more than 200mn known proteins.

Prediction of a protein’s structure from its DNA sequence alone has been one of biology’s greatest challenges. Current experimental methods to determine the shape of a single protein take months or years in a laboratory, which is why only about 190,000, or 0.1 percent of known protein structures, have been solved.

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Source: Ars Technica – DeepMind research cracks structure of almost every known protein

This entry was posted in Ars Technica, Unfiltered RSS and tagged Ars Technica by Xordac Prime. Bookmark the permalink.
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