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David Baker, Demis Hassabis and John M. Jumper, Nobel Prize in Chemistry 2024

David Baker, Demis Hassabis and John M. Jumper, Nobel Prize in Chemistry 2024

Oct. 9 () –

The Royal Swedish Academy of Sciences has decided to award the 2024 Nobel Prize in Chemistry to David Baker of the University of Washington (USA), “for the computational design of proteins”, and to Demis Hassabis and John M. Jumper of Google DeepMind in London (UK) “for protein structure prediction.”

The 2024 Nobel Prize in Chemistry focuses on proteins, the ingenious chemical tools of life. David Baker has achieved the “almost impossible” feat of building entirely new types of proteins.

For their part, Demis Hassabis and John Jumper have developed an Artificial Intelligence model to solve a 50-year-old problem: predicting the complex structures of proteins. These discoveries have enormous potential.

“One of the discoveries being awarded this year refers to the construction of spectacular proteins. The other refers to the realization of a 50-year-old dream: predicting the structures of proteins from their amino acid sequences. Both discoveries open up enormous possibilities,” says the president of the Nobel Committee for Chemistry, Heiner Linke.

Proteins are made up of 20 different amino acids, which can be described as the building blocks of life. In 2003, David Baker managed to use these components to design a new protein that was unlike any other. Since then, his research group has produced one protein after another, including proteins that can be used as drugs, vaccines, nanomaterials and tiny sensors.

The second discovery concerns the prediction of protein structure. In proteins, amino acids are linked together in long chains that fold into a three-dimensional structure, which is decisive for the function of the protein.

Since the 1970s, researchers had tried to predict protein structure from amino acid sequences, but this was notoriously difficult. However, four years ago there was a surprising breakthrough.

In 2020, Demis Hassabis and John Jumper presented an Artificial Intelligence model called AlphaFold2. With their help, they have been able to predict the structure of virtually all of the 200 million proteins that researchers have identified. Since its breakthrough, AlphaFold2 has been used by more than two million people from 190 countries.

Among a host of scientific applications, researchers can now better understand antibiotic resistance and image enzymes that can break down plastic.

“Life could not exist without proteins. The fact that we can now predict protein structures and design our own proteins is a great benefit for humanity,” they point out from the Royal Swedish Academy of Sciences.

David Baker was born in 1962 in Seattle (USA). He received a doctorate in 1989 from the University of California (Berkeley, CA, USA) and a professor at the University of Washington (Seattle, USA).

Demis Hassabis was born in 1976 in London (United Kingdom). He holds a PhD in 2009 from University College London (United Kingdom) and executive director of Google DeepMind in London.

John M. Jumper, born in 1985 in Little Rock (Arkansas, USA), holds a PhD in 2017 from the University of Chicago (Illinois, USA) and is a senior research scientist at Google DeepMind in London.

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