Trio wins chemistry Nobel for protein design, prediction
STOCKHOLM — Americans David Baker and John Jumper, together with Briton Demis Hassabis, shared the Nobel Prize in Chemistry on Wednesday for work revealing the secrets of proteins through computing and artificial intelligence. The three were honored for cracking the code of the structure of proteins, the building blocks of life, with the jury hailing their work as holding "enormous potential" in a range of fields. Biochemist Baker, 62, was given half the award "for computational protein design," while Hassabis and Jumper shared the other half "for protein structure prediction," the Nobel committee said. "David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins," it said in a statement. The committee added that his work has led to the creation of proteins that "can be used as pharmaceuticals, vaccines, nanomaterials and tiny sensors." Hassabis and Jumper developed an AI model "to solve a 50-year-old problem: predicting proteins' complex structures," the jury said of the duo who head up AI research lab Google DeepMind. Hassabis, 48, and Jumper, who was born in 1985, were among those speculated to be contenders for this year's Nobel for their work on the AI-model Alphafold. They received the prestigious Lasker Award in 2023. Scientific dream The AI tool is used to predict the three-dimensional structure of proteins based on their amino acid sequence, and the Alphafold database now contains the predicted structure of over 200 million proteins. The jury said that the laureates' discoveries "hold enormous potential." "Proteins are the molecules that enable life. Proteins are building blocks that form bones, skin, hair and tissue," Heiner Linke, chairman of the Nobel Committee for Chemistry, told a press conference. "To understand how life works, we first need to understand the shape of proteins," he said, and added that being able to predict their structure from their amino acid building blocks had "long been a dream." Baker told reporters Wednesday was turning out to be "quite a unique, special day" for him. "I was sleeping when the phone rang, and I answered the phone, and I heard the announcement," Baker said via phone link after the prize was announced in Stockholm. The researcher said he was really excited about "all the ways in which protein design can now make the world a better place," while listing areas such as health, medicine as well as technology and sustainability. Tuesday's physics prize honored key breakthroughs in artificial intelligence (AI), going to American John Hopfield and British-Canadian Geoffrey Hinton, known as the Godfather of AI. Last year, the chemistry prize went to French-born Moungi Bawendi, Louis Brus of the United States and Russian-born Alexei Ekimov for developing tiny "quantum dots" used to illuminate TVs and lamps. Awarded since 1901, the Nobel Prizes honor those who have, in the words of prize creator and scientist Alfred Nobel, "conferred the greatest benefit on humankind."
Tomas Kauer - Moderator 
STOCKHOLM — Americans David Baker and John Jumper, together with Briton Demis Hassabis, shared the Nobel Prize in Chemistry on Wednesday for work revealing the secrets of proteins through computing and artificial intelligence.
The three were honored for cracking the code of the structure of proteins, the building blocks of life, with the jury hailing their work as holding "enormous potential" in a range of fields.
Biochemist Baker, 62, was given half the award "for computational protein design," while Hassabis and Jumper shared the other half "for protein structure prediction," the Nobel committee said.
"David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins," it said in a statement.
The committee added that his work has led to the creation of proteins that "can be used as pharmaceuticals, vaccines, nanomaterials and tiny sensors."
Hassabis and Jumper developed an AI model "to solve a 50-year-old problem: predicting proteins' complex structures," the jury said of the duo who head up AI research lab Google DeepMind.
Hassabis, 48, and Jumper, who was born in 1985, were among those speculated to be contenders for this year's Nobel for their work on the AI-model Alphafold.
They received the prestigious Lasker Award in 2023.
Scientific dream
The AI tool is used to predict the three-dimensional structure of proteins based on their amino acid sequence, and the Alphafold database now contains the predicted structure of over 200 million proteins.
The jury said that the laureates' discoveries "hold enormous potential."
"Proteins are the molecules that enable life. Proteins are building blocks that form bones, skin, hair and tissue," Heiner Linke, chairman of the Nobel Committee for Chemistry, told a press conference.
"To understand how life works, we first need to understand the shape of proteins," he said, and added that being able to predict their structure from their amino acid building blocks had "long been a dream."
Baker told reporters Wednesday was turning out to be "quite a unique, special day" for him.
"I was sleeping when the phone rang, and I answered the phone, and I heard the announcement," Baker said via phone link after the prize was announced in Stockholm.
The researcher said he was really excited about "all the ways in which protein design can now make the world a better place," while listing areas such as health, medicine as well as technology and sustainability.
Tuesday's physics prize honored key breakthroughs in artificial intelligence (AI), going to American John Hopfield and British-Canadian Geoffrey Hinton, known as the Godfather of AI.
Last year, the chemistry prize went to French-born Moungi Bawendi, Louis Brus of the United States and Russian-born Alexei Ekimov for developing tiny "quantum dots" used to illuminate TVs and lamps.
Awarded since 1901, the Nobel Prizes honor those who have, in the words of prize creator and scientist Alfred Nobel, "conferred the greatest benefit on humankind."
