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Google DeepMind Scientists Win Nobel Chemistry Prize for Work on Proteins: Three scientists won the 2024 Nobel Prize in Chemistry on Wednesday for their groundbreaking work in 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. Read more of this story at Slashdot.

Google DeepMind Scientists Win Nobel Chemistry Prize for Work on Proteins: Three scientists won the 2024 Nobel Prize in Chemistry on Wednesday for their groundbreaking work in 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. Read more of this story at Slashdot.

Did you hear? We are witnessing a monumental shift in scientific research! The 2024 Nobel Prize in Chemistry has been awarded for pioneering work in AI-driven protein structure prediction. Google DeepMind's AlphaFold has achieved the remarkable feat of predicting the 3D structures of almost all known proteins from their sequences within minutes—an endeavor that previously took decades. This breakthrough not only addresses a longstanding challenge in biochemistry but also has profound implications for drug discovery, materials science, and sustainability efforts. As we celebrate this achievement, we look forward to the innovations that will emerge from this transformative technology. How do you see AI shaping the future of scientific research? #NobelPrize2024 #AIinScience #ProteinFolding #Innovation

After consecutive Nobel Prizes for Nucleic Acid research, Protein chemistry takes the spotlight with a blend of computational biology and AI in this year's Chemistry Nobel Prize. Congratulations to David Baker, Demis Hassabis, and John Jumper on this prestigious recognition! David Baker's pioneering work in computational protein design has unlocked new possibilities for tailored proteins in pharmaceuticals, vaccines, and nanomaterials. Demis Hassabis and John Jumper's AlphaFold2 (and this year's AlphaFold3) have revolutionized protein structure prediction, benefiting over 2 million protein researchers worldwide and accelerating discoveries in various fields. The recognition of computational approaches at this level prompts a discussion on establishing a dedicated Nobel category for computational biology. The field's rapid advancements and profound impact on life sciences merit specialized acknowledgment. AlphaFold's success showcases the vast potential of AI in scientific exploration. As we leverage computational power to unravel nature's mysteries, expect more groundbreaking discoveries on the horizon. Kudos to the laureates for their outstanding contributions at the intersection of biology, chemistry, and computer science, driving scientific progress and enhancing humanity's well-being. #NobelPrize2024 #ComputationalBiology #AIinScience #ProteinResearch https://lnkd.in/ghzu68Qu

Breaking news! #Nobel #Prize in #chemistry awarded to three scientists, Dennis Hassabis and John M. Jumper from Google DeepMind, and David Baker from University of Washington, for their work on #proteins. #Protein #unfolding sounds very technical, but really is quite simple. Proteins are life’s building blocks, and we are largely made of water and proteins. When we think, act, breathe or heal proteins are at work. When we get sick, our proteins change, and drugs work with proteins to make us well again. #Figuring #out the #shape of a #protein is #hard. In fact, it used to be a research problem, #requiring #several #years and sometimes a whole PhD, to solve. 4 years to predict the shape of a single protein, on average.  #AI changed that. #AlphaFold, Google DeepMind protein folding engine, has #predicted the #shapes of more than #200 #million #proteins, and we have shared these with the research community - giving nearly 1.8 million researchers access to a vast search space of proteins.  Millions of researchers have already used AlphaFold to work on everything from accelerating new #malaria #vaccines in record time, to advancing #cancer #drug discovery, and developing #plastic-eating #enzymes. Recently, DeepMind unveiled AlphaFold 3, a revolutionary AI model that can predict the structure and interactions of all life’s molecules. Whereas #AlphaFold2 is able to predict the structures of individual proteins, #AlphaFold3 builds a much richer and more comprehensive picture of biological interactions, which can help unlock a world of possibilities across research areas - such as #boosting #plant #immunity, accelerating #drug #design and research into #genetic #diseases, and understanding #biorenewable #materials. All of this work is designed to #speed #up #experimental #research into #proteomics, which in turn holds #huge #potential for tackling some of the emerging challenges of our time.  Details here:

Did you hear? We are witnessing a monumental shift in scientific research! The 2024 Nobel Prize in Chemistry has been awarded for pioneering work in AI-driven protein structure prediction. Google DeepMind's AlphaFold has achieved the remarkable feat of predicting the 3D structures of almost all known proteins from their sequences within minutes—an endeavor that previously took decades. This breakthrough not only addresses a longstanding challenge in biochemistry but also has profound implications for drug discovery, materials science, and sustainability efforts. As we celebrate this achievement, we look forward to the innovations that will emerge from this transformative technology. How do you see AI shaping the future of scientific research? #NobelPrize2024 #AIinScience #ProteinFolding #Innovation

Huge Congratulations to David Baker, John Jumper, and Demis Hassabis! Their groundbreaking work in computational biology and AI has revolutionized how we understand protein folding and design, paving the way for incredible advancements in medicine and science. This year's recognition is a true testament to the transformative power of AI in biology. Moreover, it's exciting to see the Nobel Prize in Physics positively reflecting the contributions of AI, with Geoffrey Hinton and John Hopfield being honored for their pioneering work. AI is shaping the future not only in computing, but also in biology, physics, and beyond. As we celebrate these remarkable achievements, let's look forward to October 14, 2024, when The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel will be declared. Could AI play a role in economics as well? Time will tell. Here’s to more groundbreaking discoveries and the continued synergy of artificial intelligence and scientific exploration. #NobelPrize #AI #Biotech #Innovation #ComputationalBiology #AlphaFold #DeepMind #Economics

We're excited to celebrate the Nobel Prize-winning achievements of John Jumper, Demis Hassabis (Google DeepMind), and David Baker (University of Washington), whose pioneering work is transforming our understanding of protein structures. Their development of AlphaFold, an AI tool for predicting protein structures, and Baker's AI-driven advances in computational protein design, are revolutionizing protein science and opening new frontiers in drug discovery. The open Protein Data Bank (PDB), used to train AlphaFold, contains more than 225’000 proteins — 27.8% of which were discovered by scientists using DECTRIS detectors. In 2023 alone, DECTRIS’ technology contributed to 80% of newly added macromolecular structures. We're incredibly proud to support and collaborate with the scientific community, providing technology that enables it to push the boundaries and drive life-changing discoveries to advance human health. Learn more about this incredible breakthrough in the article below. #NobelPrize #AlphaFold #ProteinScience #DECTRIS https://lnkd.in/dtReFeYp

🎉 The 2023 Nobel Prize in Chemistry dazzled the world by highlighting a groundbreaking intersection of artificial intelligence and biology. This fusion has opened up a treasure trove of possibilities in biomedicine, revolutionizing how scientists understand and manipulate proteins. 🧬 The chemistry award applauded the incredible strides achieved through AI's analytical capabilities, making significant contributions to protein research—a pivotal area in medicine and biotechnology. Proteins, the essential building blocks of life, were once enigmatic and complex structures, but with the power of AI, we've unlocked a new realm of understanding. 🚀 By processing vast amounts of biological data, AI can now predict protein structures with astonishing accuracy. This advancement holds promise for accelerating drug discovery, improving treatments for diseases, and paving the way for personalized medicine. It's like giving scientists a magic lens to peer into the microscopic world with vivid clarity. 🔍✨ This revelation underscores a broader theme of how AI is becoming an indispensable tool in various domains, enhancing human capability and fostering innovations that once seemed like science fiction. As AI continues to evolve, the symbiotic relationship between human intellect and artificial intelligence is expected to bring about even more transformative breakthroughs. 🤖❤️ The accolade serves as a poignant reminder of the potential when we channel our creativity and technological prowess toward addressing some of humanity's most pressing challenges. Imagine a future where diseases are tackled with precision and treatments are customized for each individual. That's the exciting reality this Nobel Prize is nudging us closer to. 🌟 Dive deeper into this fascinating intersection of AI and biochemistry by exploring the full article here: [Washington Post](https://lnkd.in/gj5_fQyk) 🌐

Googlers awarded the 2024 Nobel Prize in Chemistry! "The award recognizes the invention of an AI model called AlphaFold 2. which has been able to predict the structure of virtually all the 200 million proteins that researchers have identified till date! This breakthrough has significant implications for various fields, including Medicine, Bioengineering, Disease research and many others! More Importantly, AlphaFold’s predictions are made freely available which helped more than 2 million scientists and researchers from 190 countries for making new discoveries and improving the world" Talk about a win for science!"