Without Code for DeepMind’s Protein AI, One Lab Wrote Its Own

The Google subsidiary solved a fundamental problem in biology but didn’t promptly share its solution. So a University of Washington team tried to recreate it.

For biologists who study the structure of proteins, the recent history of their field is divided into two epochs: before CASP14, the 14th biennial round of the Critical Assessment of Protein Structure conference, and after. In the decades before, scientists had spent years slowly chipping away at the problem of how to predict the structure of a protein from the sequence of amino acids that it comprises. After CASP14, which took place in December 2020, the problem had effectively been solved, by researchers at the

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