John Guanjing Zhang’s Post

This is super exciting!!! The Nobel Prize in Chemistry was awarded on Wednesday to three scientists for discoveries that show the potential of advanced technology, including artificial intelligence, to predict the shape of proteins, life’s chemical tools, and to invent new ones. During my Masters in Biophysics at AIIMS in 1996-1998, as part of my research I had written a code in the ancient scientific coding language: Fortran to predict the structure of proteins by calculating the attraction and repulsion between the independent molecules of each amino acid that was part of the protein. We had at the time used this model to predict/ invent a protein that could act as an HIV vaccine. The work was published, patented, earned a grant and was at the time taken up by NIH, USA for further research. The news of this year's Nobel prize reminded me of this work from my past life. And so exciting to see how far it has come since!! Super duper exciting!!!! https://lnkd.in/gY5a4QNi

We extend our wholehearted congratulations to David Baker, Demis Hassabis, and John Jumper, who have won the 2024 Nobel Prize in Chemistry for their groundbreaking advancements in the understanding of protein structures 👏 Prof. David Baker, who co-authored a 2016 paper in MDPI_Toxins, specializes in the development of protein design software for various molecular applications. His computational research makes it possible to input a desired protein structure and receive suggestions for its amino acid sequence. Sir Demis Hassabis, the British founder of the AI research laboratory DeepMind and John Jumper, the lead for the development of DeepMind's Alphafold share the other half of the prize. Alphafold is an AI model capable of predicting protein structures from their amino acid sequences. Find out more about the winners and their research: https://brnw.ch/21wNSV2 #mdpi #nobelprize #proteinstructure #research

Exciting news in the world of science! 🎉 The Nobel Prize in Chemistry 2024 has been awarded to Demis Hassabis and John Jumper from Google DeepMind for their groundbreaking work on AlphaFold2, an AI model that predicts protein structures. This achievement is shared with David Baker from the University of Washington for his pioneering efforts in computational protein design. AlphaFold2 has revolutionized our understanding of proteins, which are essential to all life forms. Proteins perform a myriad of functions, from acting as enzymes and hormones to forming the structural components of cells. Predicting their complex 3D structures from amino acid sequences has been a challenge for decades. However, AlphaFold2 has cracked this code, enabling scientists to predict the structure of nearly all known proteins with remarkable accuracy. "To put it simply, proteins are like tiny machines within our bodies, each with a unique shape that determines its function. Imagine trying to assemble a complex piece of furniture without any instructions—this was the challenge scientists faced with proteins. AlphaFold2 provides the “instruction manual” by predicting how proteins fold into their functional shapes, which is crucial for understanding how they work." This breakthrough has vast implications for biology and medicine. Researchers can now better understand diseases, develop new drugs, and even design proteins for specific purposes, such as breaking down plastics or combating antibiotic resistance. The potential applications are endless, making this a truly transformative moment in science. The ability to predict protein structures accurately opens up new avenues for scientific discovery and innovation. It accelerates research in various fields, from drug development to environmental science, and enhances our ability to tackle some of the most pressing challenges facing humanity today. Congratulations to the laureates for their incredible contributions to science and humanity! 🌟 What do you think will be the most exciting application of AlphaFold2 in the future? Share your thoughts! #NobelPrize #AlphaFold2 #ProteinStructure #AI #ScienceInnovation #Biotechnology #Chemistry #ScientificBreakthrough #DeepMind #DavidBaker #DemisHassabis #JohnJumper

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!"

2 Nobel Prizes for Artificial Intelligence (AI) this year in Physics yesterday and Chemistry today! This year’s Nobel Prize laureates in chemistry Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. In 2020, Hassabis and Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic. Read more about their story: https://bit.ly/4diKiJ2

🎉 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) 🌐

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

🔔 BREAKING NEWS 🔔 The 2024 Nobel Prize in Chemistry goes to David Baker for his groundbreaking work in computational protein design, and to Demis Hassabis and John Jumper for cracking the code on protein structure prediction with their revolutionary AI models! The Nobel Committee shared: “This year’s Chemistry Prize is all about proteins – nature’s own chemical tools. David Baker has achieved the near-impossible, designing entirely new kinds of proteins. Demis Hassabis and John Jumper have developed AI that solves a decades-old problem: predicting the complex structures of proteins. These discoveries open up immense possibilities.” What's especially exciting? This is the second Nobel Prize awarded for AI research this year! #Chemistry #AI #Science #Research #Biotech #NobelPrize

Nobel Prize meets AI 😲 The 2024 Nobel Prize in Chemistry boldly goes to the 'protein pioneers' for revolutionizing protein science by harnessing AI. Their pioneering work transcends traditional boundaries, pushing the limits of what's possible in medicine, biotechnology, and materials science. 🟠 Their ingenious application of AI accelerates protein structure prediction and design, reshaping scientific inquiry. 🟠 This accolade underscores the seismic shift AI is making in scientific research, promising a revolution across disciplines. 🟠 While some hail AI as the future of discovery, others see it as a Pandora’s box with potential perils. Will AI continue to be the hero of the story, or will its role in science lead to uncharted controversies? 🤔 #ArtificialIntelligence #NobelPrize #ProteinScience #Biotechnology #Innovation #ScientificResearch

I’m thrilled to witness such remarkable scientific progress in tackling one of the most significant challenges in chemistry: predicting the three-dimensional structures of proteins based on their amino acid sequences. #proteins #proteinstructure #proteinsfunctionality #chemistry #science