The research by David Baker, Demis Hassabis and John M. Jumper represents a breakthrough in understanding protein structures, long deemed impossible to predict.
Proteins consist of strings of amino acid molecules that form complex sequences, crucial for reading, copying and repairing DNA.
By leveraging advancements in AI, the laureates successfully predicted potential protein structures, utilizing neural networks to analyze amino acid spatial relationships.
Baker's computational tools build on foundational discoveries in 1972, linking amino acid sequences to the formation of biologically active protein structures.
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