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  5. Demis Hassabis, David Baker and Daphne Jumper win Nobel Prize in Chemistry for work on protein structure

Demis Hassabis, David Baker and Daphne Jumper win Nobel Prize in Chemistry for work on protein structure

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Demis Hassabis, John Jumper, and David Baker have won the 2024 Nobel Prize in Chemistry for their work on proteins, the building blocks of life. They were awarded the prize for their research in computational protein design and protein structure prediction. Baker was awarded half of the prize for his work on computational protein design, while Hassabis and Jumper shared the other half for their contributions to protein structure prediction. This breakthrough research has allowed scientists to predict the three-dimensional structure of proteins, which is a crucial step in creating new pharmaceuticals, vaccines, nanomaterials, and tiny sensors. The Royal Swedish Academy of Sciences recognized the significance of their work, stating that it was considered impossible for years to predict the structures of proteins.

  1. SE
    Nobel Foundation
    1. Work that once took years now takes just a few minutes thanks to this year's chemistry laureates.
    2. David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins.
  2. GB
    Google DeepMind
    1. This is a monumental achievement for AI, for computational biology, and science itself.
  3. GB
    Demis Hassabis
    Google DeepMind
    1. So I don't want to pick favorites, but I can tell you about one that we designed during the pandemic that protects against the coronavirus. And I've been very excited about the idea of a nasal spray, of little designed proteins, that would protect against all possible pandemic viruses.
    2. I spent my whole life working on AI, dreaming of this kind of impact … where we can use it for the benefit of society.
    3. We really have to think very hard … about how to empower the good use cases while mitigating … the bad use cases. It carries risks as well and we need to be aware of those.
    4. I've always felt it would be one of the most transformative technologies in human history.
    5. It's an unbelievable honour of a lifetime to receive the Nobel prize.
    6. I've dedicated my whole life to working on AI because I believe in its potential to change the world.
  4. GB
    Annette Doherty
    Royal Society of Chemistry
    1. The benefits of this research are remarkable, as we can all look forward to applications improving our health and wellbeing. I am sure that their work will prove as inspirational to future generations as the discoveries of their predecessors who have been awarded this most prestigious honour.
  5. SE
    Heiner Linke
    Lund University
    1. Proteins are the molecules that enable life. Proteins are building blocks that form bones, skin, hair and tissue.
    2. To understand how life works, we first need to understand the shape of proteins.
    3. That was actually called a grand challenge in chemistry, and in particular in biochemistry, for decades. So, it's that breakthrough that gets awarded today.
    4. One of the discoveries being recognized this year concerns the construction of spectacular proteins. The other is about fulfilling a 50-year-old dream: predicting protein structures from their amino acid sequences. Both of these discoveries open up vast possibilities.
    5. These proteins consist of hundreds of thousands of atoms that are responsible for every biochemical function in the body.
    6. Another dream of scientists has been to build new proteins, to learn how to use nature's multi-tool for our own purposes. This is the problem that David Baker solved.
    7. This research is a landmark moment, as it was considered impossible for years to predict the structures of proteins.
    8. Four years ago, in 2020, Demis Hassabis and John Jumper managed to crack the code. With skillful use of artificial intelligence, they made it possible to predict the complex structure of essentially any known protein in nature.
  6. SE
    Johan Aqvist
    Nobel Foundation
    1. 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.
  7. US
    David Baker
    University of Washington
    1. I'm really excited about all the ways in which protein design makes the world a better place in health, medicine and, really, outside technology.

sources

  1. 1.Al Jazeera
  2. 2.DW News
  3. 3.The Japan Times
  4. 4.CNA News
  5. 5.The Times
  6. 6.Daily Sabah
  7. 7.BBC
  8. 8.The Guardian
  9. 9.Le Monde
  10. 10.The New York Times
  11. 11.France 24
  12. 12.Associated Press

perspectives

  1. 1.Artificial Intelligence
  2. 2.Nobel Prize

countries

  1. 1.ChinaCN
  2. 2.CyprusCY
  3. 3.FranceFR
  4. 4.United KingdomGB
  5. 5.GreeceGR
  6. 6.Russian FederationRU
  7. 7.SwedenSE
  8. 8.SingaporeSG
  9. 9.United StatesUS

organizations

  1. 1.Google DeepMindGB
  2. 2.University of Washington
  3. 3.Royal Swedish Academy of SciencesSE
  4. 4.Royal Society of Chemistry
  5. 5.GoogleUS
  6. 6.University College London
  7. 7.Alphabet Inc
  8. 8.Nobel FoundationSE
  9. 9.Royal Society
  10. 10.TechScape
  11. 11.University of Bonn
  12. 12.University of Cambridge

persons

  1. 1.David BakerUS
  2. 2.Demis HassabisGB
  3. 3.John Jumper
  4. 4.Heiner LinkeSE
  5. 5.Alfred Nobel
  6. 6.Gary Ruvkun
  7. 7.Victor Ambros
  8. 8.Geoffrey HintonCA
  9. 9.Johan AqvistSE
  10. 10.John Hopfield
  11. 11.Louis Brus
  12. 12.Moungi Bawendi

technicals

  1. 1.Nobel Prize
  2. 2.AlphaFold2
  3. 3.Alphafold
  4. 4.Nobel Peace Price
  5. 5.Lasker Award
  6. 6.Nobel Prize for Physics
  7. 7.Nobel Prize in Chemistry
  8. 8.Nobel Prize in Medicine
  9. 9.Rosetta
Demis Hassabis, David Baker and Daphne Jumper win Nobel Prize in Chemistry for work on protein structure