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How AI Revolutionized Protein Science, but Didn’t End It | Quanta Magazine

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How does a one-dimensional string of molecules fold correctly into its innate three-dimensional shape? This question, known as the protein folding problem, was recently solved by artificial intelligence. Fran Pulido for Quanta Magazine Staff Writer June 26, 2024 In December 2020, when pandemic lockdowns made in-person meetings impossible, hundreds of computational scientists gathered in front of their screens to watch a new era of science unfold. They were assembled for a conference, a friendly competition some of them had attended in person for almost three decades where they could all get together and obsess over the same question. Known as the protein folding problem, it was simple to state: Could they accurately predict the three-dimensional shape of a protein molecule from the barest of information — its one-dimensional molecular code? Proteins keep our cells and bodies alive and running. Because the shape of a protein determines its behavior, successfully solving this problem wou

How AI Revolutionized Protein Science, but Didn’t End It | Quanta Magazine Home How AI Revolutionized Protein Science, but Didn’t End It Read Later Share Copied! Comments Read Later Read Later molecular biology How AI Revolutionized Protein Science, but Didn’t End It By Yasemin Saplakoglu June 26, 2024 Three years ago, Google’s AlphaFold pulled off the biggest artificial intelligence breakthrough in science to date, accelerating molecular research and kindling deep questions about why we do science. Read Later How does a one-dimensional string of molecules fold correctly into its innate three-

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