Google DeepMind Scientists Win Nobel Chemistry Prize for Work on Proteins (npr.org)
(Wednesday October 09, 2024 @11:20AM (msmash)
from the big-breakthroughs dept.)
- Reference: 0175219899
- News link: https://science.slashdot.org/story/24/10/09/143238/google-deepmind-scientists-win-nobel-chemistry-prize-for-work-on-proteins
- Source link: https://www.npr.org/2024/10/09/g-s1-27123/nobel-prize-in-chemistry-awarded-to-david-baker-demis-hassabis-and-john-jumper
Three scientists won the 2024 Nobel Prize in Chemistry on Wednesday for their groundbreaking work in [1]predicting and designing protein structures , the Royal Swedish Academy of Sciences announced in Stockholm. David Baker of the University of Washington shares the prize with Demis Hassabis and John Jumper of Google DeepMind. Baker pioneered the creation of novel proteins, while Hassabis and Jumper developed AlphaFold, an AI model that predicts protein structures from amino acid sequences.
The laureates will split the 11 million Swedish kronor ($1 million) award for their contributions to computational protein design and structure prediction. Baker's team has produced proteins with applications in medicine and materials science since his initial breakthrough in 2003. Hassabis and Jumper's AlphaFold, announced in 2020, has predicted structures for nearly all 200 million known proteins. "We glimpsed at the beginning that it might be possible to create a whole new world of proteins that address a lot of the problems faced by humans in the 21st century," Baker said at a press briefing.
"Now it's becoming possible," Heiner Linke, chair of the Nobel chemistry committee, called the discoveries "spectacular," noting they fulfilled a 50-year-old dream of predicting protein structures from amino acid sequences. The breakthroughs have wide-ranging implications, from understanding antibiotic resistance to developing enzymes that decompose plastic. Over 2 million researchers worldwide have already utilized AlphaFold in various applications.
[1] https://www.npr.org/2024/10/09/g-s1-27123/nobel-prize-in-chemistry-awarded-to-david-baker-demis-hassabis-and-john-jumper
The laureates will split the 11 million Swedish kronor ($1 million) award for their contributions to computational protein design and structure prediction. Baker's team has produced proteins with applications in medicine and materials science since his initial breakthrough in 2003. Hassabis and Jumper's AlphaFold, announced in 2020, has predicted structures for nearly all 200 million known proteins. "We glimpsed at the beginning that it might be possible to create a whole new world of proteins that address a lot of the problems faced by humans in the 21st century," Baker said at a press briefing.
"Now it's becoming possible," Heiner Linke, chair of the Nobel chemistry committee, called the discoveries "spectacular," noting they fulfilled a 50-year-old dream of predicting protein structures from amino acid sequences. The breakthroughs have wide-ranging implications, from understanding antibiotic resistance to developing enzymes that decompose plastic. Over 2 million researchers worldwide have already utilized AlphaFold in various applications.
[1] https://www.npr.org/2024/10/09/g-s1-27123/nobel-prize-in-chemistry-awarded-to-david-baker-demis-hassabis-and-john-jumper
Next step (Score:3)
Being able to mass-produce custom protein structures will be huge.