The committee praised the recipients for cracking "the code for proteins' amazing structures," highlighting Hassabis and Jumper's achievement of developing "an AI model to solve a 50-year-old problem: predicting proteins' complex structures."
One of the discoveries being recognized this year concerns the construction of spectacular proteins... fulfilling a 50-year-old dream: predicting protein structures from their amino acid sequences. Both of these discoveries open up vast possibilities," Heiner Linke, chair of the Nobel Committee for Chemistry.
Since then, the tool has helped to predict the structure of nearly all the 200 million proteins that researchers have identified. In 2022, DeepMind also unveiled free-to-access models of microscopic protein structures.
DeepMind released the first iteration of AlphaFold in 2020. The company says more than 2 million people across 190 countries have used the AlphaFold tool since its release.
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