Nasir Uddin’s Post

🚀 Nobel Prize in Chemistry Awarded to Pioneers of AI-Driven Protein Structure Prediction The 2024 Nobel Prize in Chemistry has been awarded to John Jumper, Demis Hassabis, and David Baker for their revolutionary work in computational biology using artificial intelligence (AI). This trio of scientists has fundamentally changed the way researchers understand protein structures, with significant implications for drug discovery and biological research. 🔑 Key Takeaways: ◾ John Jumper and Demis Hassabis, from Google DeepMind, developed AlphaFold AI, which can predict protein structures with unprecedented accuracy. ◾ David Baker, from the University of Washington, has enhanced computational protein design through AI, leading to innovative new proteins and potential treatments. ◾ The AI tools developed by these laureates have made detailed and accurate protein structures accessible to scientists worldwide, accelerating research and potential therapeutic discoveries. 🌍 Why This Matters: The ability to accurately predict protein structures is a cornerstone of modern biology and medicine. Proteins are the machinery of life, and understanding their structure is crucial for everything from understanding disease mechanisms to designing new therapies. AlphaFold and related technologies have opened up new possibilities in numerous fields of science and medicine. 🔗 https://lnkd.in/d7Uu7sXS #NobelPrize #Chemistry #ProteinFolding #ArtificialIntelligence #Biotechnology #DrugDiscovery #HealthcareInnovation

Google Scientists Win Nobel Prize in Chemistry, Marking a Milestone in AI's Evolution The Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize in Chemistry to Demis Hassabis and John Jumper of Google DeepMind, along with David Baker of the University of Washington. This prestigious award recognizes their groundbreaking work in using artificial intelligence (AI) to predict and design novel proteins. AI's Ascendancy in Scientific Discovery ➡️ This isn't just a win for Google or DeepMind; it's a landmark moment for the entire field of AI. It demonstrates the transformative power of AI in pushing the boundaries of scientific discovery and addressing some of humanity's most pressing challenges. ➡️ Pioneering the Future of Medicine and Beyond The laureates' work has the potential to revolutionize medicine, materials science, and numerous other fields. By enabling the accurate prediction and design of protein structures, their AI models are paving the way for the development of new drugs, therapies, and materials with unprecedented precision and efficiency. 💡 A Journey of Innovation and Collaboration This Nobel Prize is a testament to the dedication, ingenuity, and collaborative spirit of these brilliant scientists. It also highlights the crucial role of interdisciplinary research in driving innovation and pushing the frontiers of knowledge. ✅ The Future of AI is Bright As AI continues to evolve and mature, we can expect even more groundbreaking discoveries and applications in the years to come. This Nobel Prize serves as an inspiration and a reminder of the immense potential of AI to shape a better future for all. ❕ With Great Power Comes Great Responsibility While the win is a significant milestone, it also comes with a great responsibility. As AI becomes more powerful and integrated into our lives, it's crucial to ensure its responsible development and use. This includes addressing ethical concerns, mitigating potential biases, and establishing clear boundaries for its application. #AI #NobelPrize #Chemistry #GoogleDeepMind #Innovation #Science #Technology #FutureOfWork #ResponsibleAI #Ethics #Boundaries https://lnkd.in/dkCrU8TM

🌟 Nobel Prize in Chemistry 2024: Unlocking a New World of Protein Design with AI 🧬✨ The 2024 Nobel Prize in Chemistry has shattered boundaries, unveiling revolutionary advances in protein design and prediction that could transform #drugdiscovery, medicine, technology, and beyond. Johan Åqvist, professor of theoretical chemistry and Nobel Committee member, shared on this just minutes, after the live announcement, calling this year’s breakthroughs “mind-blowing.” This year’s prize is all about cracking the code of protein structures—massive molecules vital to life, made up of amino acids that fold into mind-boggling 3D shapes. David Baker, one of the laureates, was recognized for designing proteins that have never existed in nature. Using sophisticated algorithms, Baker's work allows scientists to create virus inhibitors, opioid sensors, and even futuristic nanomaterials—pushing the limits of what we thought possible. Two additional laureates Demis Hassabis and John Jumper were also recognised for using advanced neural networks to predict protein structures from their amino acid sequences. This breakthrough has already led to a massive database of 200,000 protein structures, setting the stage for design of various drugs. “This prize opens up a completely new world of possibilities,” Åqvist said, as AI and protein design collide to revolutionize the future of science and technology. #DrugDiscoveryNews #ComputationalChemistry #ResearchNews

🎉 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) 🌐

Another Nobel Prize for #AI Demis Hassabis and John Jumper, both with Google DeepMind, today received the #Nobel Prize for chemistry. They are awarded for their work on AlphaFold: https://lnkd.in/ewvm5MbS #AlphaFold predicts the 3D structure of proteins based on their amino acid sequences. It represents a major breakthrough in computational biology, specifically in the field of protein structure prediction. AlphaFold has established itself as an essential tool in chemistry and structural #biology. Also awarded with the Nobel Prize in #chemistry is David Baker, for his contributions to computational protein design. I think it is no longer justified to claim that AI is just hype. #nobelprice #machinelearning #nobelprize

Exciting news about a groundbreaking achievement in the field of chemistry. The 2024 Nobel Prize in Chemistry has been awarded to two Google DeepMind scientists along with an American biochemist for their exceptional work in predicting and designing protein structures. Demis Hassabis and John Jumper from DeepMind, creators of the AI model AlphaFold, share half the prize. The other half goes to David Baker from the University of Washington for his innovative research in creating new proteins with wide-ranging applications. Learn more about this remarkable accomplishment in The Guardian US. #NobelPrize #Chemistry #ScienceBreakthrough #advertising #marketing #advertisingandmarketing

🎉 Big news for science! IA strikes again 🎉 Today marks a historic moment for all of us working at the intersection of artificial intelligence and scientific research. The 2024 Nobel Prize in Chemistry has been awarded, with one half going to David Baker "for computational protein design" and the other half jointly to Demis Hassabis and John M. Jumper "for protein structure prediction," recognizing the groundbreaking impact of AlphaFold and other revolutionary advancements. As part of the scientific community applying AI to drug discovery, this global recognition fills us with pride. Our daily work, designing new models and applying innovative techniques, is not only transforming how we understand proteins but also opening new doors to therapies and treatments for diseases that still lack answers. AI is revolutionizing the world, and our field is no exception. This Nobel Prize highlights the importance of continuing to explore its full potential. From computational chemistry to bioinformatics, we push forward with the hope of finding solutions where none existed before. We are building the future of medicine! PS. Here's a snapshot of our first publication using AlphaFold (https://lnkd.in/d-qTieDs), if you'd like to take a look at how the predicted protein α7 nAChR of Zebrafish aligns with 𝘪𝘯 𝘷𝘪𝘷𝘰 studies on the behaviour of 𝘋𝘢𝘯𝘪𝘰 𝘳𝘦𝘳𝘪𝘰 affected by nicotine and cotinine pollutants. #NobelPrize #AlphaFold #AI #DrugDiscovery #Science #Innovation #ComputationalChemistry #Bioinformatics #Healthcare #InnovativeTherapies

🎉 This week marks an extraordinary milestone as The Nobel Prize 2024 in Chemistry has been co-awarded to Google DeepMind's Sir Demis Hassabis and Dr. John Jumper for their revolutionary work on AlphaFold! 🎉 This groundbreaking AI system is reshaping our understanding of biology by predicting the 3D structure of proteins from their amino acid sequences. Before AlphaFold, predicting protein structures was a daunting and time-consuming endeavor. Now, with its free access through the AlphaFold Protein Structure Database, over 2 million scientists and researchers from 190 countries have an incredible tool to unlock new discoveries across various fields! AlphaFold’s impact is nothing short of transformative, earning prestigious accolades like the 2023 Albert Lasker Basic Medical Research Award, the 2023 Breakthrough Prize in Life Sciences, and now the Nobel Prize! It stands as a powerful testament to the incredible potential of AI in accelerating scientific discovery. Here’s to pushing the boundaries of science! 🚀🔬 #NobelPrize #AlphaFold #GoogleDeepMind #AIinScience

The 2024 #NobelPrize laureates in chemistry Demis Hassabis and John Jumper have successfully utilised artificial intelligence to predict the structure of almost all known proteins. When Demis Hassabis and John Jumper confirmed that AlphaFold2 really worked, they calcu­lated the structure of all human proteins. Then they predicted the structure of virtually all the 200 million proteins that researchers have so far discovered when mapping Earth’s organisms. #AlphaFold2 is a groundbreaking artificial intelligence system developed by DeepMind, a subsidiary of Alphabet Inc. It has revolutionized the field of protein structure prediction by accurately predicting the 3D structure of a protein from its amino acid sequence with unprecedented accuracy. AlphaFold2 can predict protein structures with an accuracy comparable to experimental methods like X-ray crystallography and cryo-electron microscopy. It can predict the structure of a protein in a matter of days or even hours, significantly reducing the time and cost involved in traditional experimental methods. Additionally, AlphaFold2 can be applied to a wide range of proteins, including those that are difficult to study using experimental methods. The system is based on deep learning techniques, specifically neural networks, which enable it to learn complex patterns in protein sequences and structures. Google #DeepMind has also made the code for AlphaFold2 publicly available, and anyone can access it. The AI model has become a gold mine for researchers. By October 2024, AlphaFold2 had been used by more than two million people from 190 countries. Previously, it often took years to obtain a protein structure, if at all. Now it can be done in a few minutes. The AI model is not perfect, but it estimates the correctness of the structure it has produced, so researchers know how reliable the prediction is. Read on ... https://lnkd.in/g5Vdx47C #AIML #TechInnovations #AIusecases

1/ The Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize in Chemistry to three researchers who have made important advances in deciphering and designing protein structures. 2/ David Baker from the University of Washington receives one half of the prize for his work in the computer design of proteins. The other half is shared by Demis Hassabis and John Jumper from Google DeepMind for the development of the AlphaFold AI system for predicting protein structures. 3/ AlphaFold 2 uses an AI mechanism known as "Attention" and takes into account evolutionarily related sequences as well as physical and geometric constraints on protein folding. The prizewinners' discoveries enable a better understanding of biological processes and accelerate the development of new drugs. 👇 Read more #AIandscience