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The 2024 Nobel Prize in Chemistry was awarded to a trio of scientists who used artificial intelligence to “crack the code” of almost all known proteins, the “chemical tools of life.”

The Nobel Committee praised David Baker for “achieving the almost impossible feat of building entirely new types of proteins” and Demis Hassabis and John Jumper for developing an AI model to predict the complex structures of proteins – a problem that has been unresolved for 50 years.

“The potential of their discoveries is enormous,” the committee said when announcing the award in Sweden on Wednesday. The prize is considered the pinnacle of scientific achievement and is worth 11 million Swedish crowns (US$1 million).

Proteins, a series of amino acid molecules, are the building blocks of life. They help form hair, skin and tissue cells; they read, copy and repair DNA; and they help transport oxygen in the blood.

While proteins only consist of about 20 amino acids, these can be combined in almost endless ways and fold into highly complex patterns in three-dimensional space.

The Nobel Prize for Chemistry was awarded in Sweden on Wednesday.

The committee said Wednesday's award was made up of two “halves.” First prize went to Hassabis, a British computer scientist who co-founded Google's AI research lab DeepMind, and Jumper, an American researcher who also works at DeepMind.

Hassabis and Jumper were honored for using AI to predict the three-dimensional structure of a protein from an amino acid sequence, allowing them to predict the structure of almost all 200 million known proteins.

Their AI program – the AlphaFold Protein Structure Database – has been used by at least 2 million researchers around the world. It acts as a “Google search” for protein structures, providing instant access to predicted protein models and accelerating progress in fundamental biology and other related fields. The pair have already won the 2023 Lasker and Breakthrough Prizes.

Since the pair's key paper was published in 2021, it has been cited more than 13,000 times. David Pendlebury, head of research analysis at the Clarivate Institute for Scientific Information, called it an “extraordinary number.” Of a total of 61 million scientific papers, only about 500 have been cited more than 10,000 times, he told CNN before the award ceremony on Wednesday.

The second “half” of the prize went to Baker, an American biochemist and professor at the University of Washington, who used computer-aided methods to create proteins that did not exist before and that have completely new functions.

Johan Aqvist, a member of the Nobel Committee, said Baker first used his computer program to “draw protein structures in new dimensions” and then “figure out what amino acid sequence would make that structure.” This allowed Baker to create these new proteins, “most of which had never been seen before and did not exist in nature.”

He said the variety of proteins Baker created was “absolutely mind-boggling.”

“It seems that you can now make almost any type of protein with this technology,” Aqvist said.

The committee said the ability to engineer new proteins offers a wide range of potential uses, from developing new drugs to accelerating the development of new vaccines.

Wednesday's chemistry prize ceremony reinforced the enormous influence of AI in science.

The Nobel Prize in Physics, awarded Tuesday, was shared by Geoffrey Hinton, dubbed the “Godfather of AI,” and John Hopfield for their work on artificial neural networks – the same technology that underpinned the work of the new chemistry laureates.

Before moving on to proteins, the two worked on a computer program that could compete with the world's best players of the ancient Chinese board game Go.

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