Google DeepMind scientists win Nobel chemistry prize
Demis Hassabis, John Jumper, and David Baker won the 2024 Nobel Prize in Chemistry for advancements in protein structure prediction, with implications for medicine, materials science, and global challenges.
Read original articleDemis Hassabis, John Jumper from Google DeepMind, and David Baker from the University of Washington have been awarded the 2024 Nobel Prize in Chemistry for their significant contributions to protein structure prediction and design. Hassabis and Jumper received half of the prize for developing AlphaFold, an AI model that accurately predicts protein structures from their amino acid sequences. The other half was awarded to Baker for his work in creating novel proteins with potential applications in vaccines, nanomaterials, and sensors. The Royal Swedish Academy of Sciences highlighted the groundbreaking nature of their discoveries, which fulfill a long-standing scientific goal and open new avenues for addressing global challenges. Baker reflected on the journey of designing new proteins, which began over two decades ago, emphasizing the transformative impact of recent advancements in computing and science. The research has broad implications, including improving health outcomes and addressing environmental issues, as proteins play crucial roles in biological processes. Since its introduction, AlphaFold has been utilized by millions worldwide for various applications, including antibiotic resistance research and enzyme development.
- Demis Hassabis and John Jumper from Google DeepMind, along with David Baker, won the 2024 Nobel Prize in Chemistry.
- Their work focuses on predicting and designing protein structures, with significant implications for medicine and materials science.
- AlphaFold, developed by Hassabis and Jumper, can predict the structures of nearly all known proteins.
- The research has been applied in various fields, including vaccine development and environmental science.
- The Nobel committee recognized the transformative potential of their discoveries for addressing global challenges.
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