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=86400 Protein-structure prediction revolutionized
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Protein-structure prediction revolutionized

The full might of a world-leading artificial-intelligence laboratory has been brought to bear on protein-structure prediction. The resulting method, AlphaFold2, promises to transform our understanding of proteins.
  1. Mohammed AlQuraishi

    1. Mohammed AlQuraishi is in the Columbia University Irving Medical Center, Columbia University, New York, New York 10032, USA.

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Most proteins self-assemble into specific 3D structures that, together with other biological molecules, determine the function and behaviour of cells. Over the past five decades, biologists have experimentally determined the structures of more than 180,000 proteins and deposited them in the Protein Data Bank1, a freely available online resource. Despite this painstaking effort, the structures of hundreds of millions of proteins remain unknown, including more than two-thirds of those in the human proteome — the full set of proteins produced by our genome.

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Nature 596, 487-488 (2021)

doi: https://doi.org/10.1038/d41586-021-02265-4

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The author declares no competing interests.

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