"This research is a landmark moment, as it was considered impossible for years to predict the structures of proteins," chair for the Nobel Committee in chemistry, Heiner Linke, said when the prize was announced in October.
"These proteins consist of hundreds of thousands of atoms that are responsible for every biochemical function in the body," Linke said.
"They used neural networks and deep learning to train a database that then showed how close two amino acid structures were to each other in space," said Johan Aqvist, a member of the Nobel Committee in chemistry.
David Baker created computational tools to predict protein structures, building on the 1972 chemistry Nobel Prize discoveries, revealing the link between amino acid sequences and their folding.
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