Isomorphic Labs’ Post

The groundbreaking advancements by Mr David Baker, Mr Demis Hassabis, and Mr John Jumper are a significant milestone, especially given the rapidly growing demand for innovative protein solutions in the market 🫡. With industries like pharmaceuticals, biotechnology, and agriculture increasingly relying on engineered proteins, these achievements open up new opportunities to address global challenges such as disease treatment, sustainable food production, and environmental sustainability. The ability to design novel proteins and predict structures at such scale is a game-changer for meeting the market’s demand for precision and efficiency. Truly inspiring work that will have far-reaching impacts!

🌟 Why the 2024 Nobel Prize in Chemistry is a game-changer While predicting protein structures has been a long-standing goal, David Baker, Demis Hassabis, and John Jumper took it to an entirely new level! Here’s how their work has transformed science and its applications: 1️⃣ From Theory to Near-Perfect Accuracy • Traditional Methods: Earlier approaches relied on computational simulations and experimental data, but accuracy and scalability were limited. 🧪📉 • What’s New: AlphaFold2 (by Hassabis and Jumper) achieved atomic-level precision for most proteins 🏆🧬 This marked a quantum leap over decades of incremental progress. 2️⃣ Creating Proteins, Not Just Predicting Them • What Came Before: Research focused on natural proteins derived from evolutionary sequences. 🧫 • What’s New: Baker’s work unlocked de novo protein design—creating proteins that don’t exist in nature for real-world applications, such as: • Custom enzymes to degrade plastics ♻️. • Synthetic proteins for therapeutics and vaccines 💉. • New materials for sustainable engineering 🌍. This shift from understanding biology to creating biology is groundbreaking! 3️⃣ Speed and Scale Like Never Before • Traditional Methods: Experimental techniques like X-ray crystallography or NMR were slow, expensive, and impractical for large-scale studies. 🕒💰 • What’s New: • AlphaFold2 predicts structures in hours or days ⚡, making large-scale studies possible. • The AlphaFold Protein Structure Database 🌍 democratizes science, offering free predictions for nearly all known proteins. 4️⃣ AI-Powered Revolution • Traditional Methods: Older models were physics-based and heavily reliant on brute-force computations. 🔢 • What’s New: AlphaFold2 uses deep learning 🤖, combining evolutionary data with physical principles to unlock a paradigm shift in protein science. 5️⃣ Real-World Impact • Traditional Work: Focused mainly on academic insights. 📚 • What’s New: Their work has immediate applications: • Designing cancer therapeutics 🎯. • Developing antiviral proteins for diseases like COVID-19 🦠. • Engineering enzymes for industrial sustainability ♻️, such as breaking down plastics. ✨ The Unique Selling Point (USP): The predictive accuracy, de novo design capabilities, and AI-driven efficiency of their methods have turned structural biology into a practical, scalable, and game-changing tool. Their fusion of science, AI, and real-world applications sets them apart from anything that came before. #NobelPrize 🏆 #AlphaFold2 🤖 #ProteinDesign 🧬 #Sustainability ♻️ #CancerTherapeutics 🎯 #ScienceInnovation 🌟 #GlobalHealth 💉

Protein design and structure prediction field taken to new heights opening vastness of new possibilities.😇😇

Never thought I would see such breakthrough research in my life time. When no computer was available Prof Ramachandran came out with the idea of Ramachandran plot which predicted what amino acid contributed to certain specific folding, C B Anfinsen got Nobel prize of predicting that primary sequence determines secondary structure. But the approach by these Nobel prize winners has revolutionized protein structure prediction and how to improve the structure has changed the way we teach protein chemistry

Computational -‘Protein Design’ & Computational-‘Protien Structure prediction’ My random thoughts would always be around if we can really quantise the random things I see around the world. As an AI optimist I see this as an amazing insight into seeing Chemistry + Computation changing the world. #AI #Computation #DataScience #MachineLearning #DataAnalytics

✨20 years ago, I started my journey in the pharmaceutical industry. As a medicinal chemist with over a decade of experience, I have always hoped for better target discovery methods. 🚀The emergence of AlphaGo marked a turning point. Witnessing it defeat the world’s top Go player, Lee Sedol 9-dan, especially with the groundbreaking move that transcended human imagination, made me realize the limitless potential of AI. 🎉Now, the Nobel Prize in Chemistry recognizing AI's transformative contributions to drug discovery is a monumental affirmation of how AI empowers pharmaceutical innovation. ⚓I firmly believe AI will lead to even more breakthroughs across all aspects of drug development, enabling us to solve medical challenges faster and more precisely, ultimately benefiting countless patients. 🎊Looking forward to contributing to this incredible future! 🤖💊✨ #ArtificialIntelligence #DrugDiscovery #NobelPrize

In earlier times, predicting protein structures was a highly complex, expensive, and time-intensive task, often requiring years of research and sometime forming the core of entire PhD project for many. But now, thanks to the team of Google DeepMind's AlphaFold, led by John Jumper and Demis Hassabis, and the pioneering work of David Baker's lab, Protein structures can now be predicted with remarkable accuracy in just minutes to a few hours, revolutionizing research in biotechnology, medicine, and beyond.

AlphaFold has empowered more than 2M scientists across 190 countries, advancing the frontiers of biology and medicine. For this achievement, Google DeepMind's Demis Hassabis and John Jumper received a #NobelPrize diploma and medal, together with David Baker. See their acceptance addresses here: https://lnkd.in/gpQXgXis

”David Baker, Demis Hassabis and John Jumper, your ground-breaking work in computational protein design and protein structure prediction has revolutionised these fields. It has opened up completely new possibilities to design proteins that have never been seen before, and we now have access to predicted structures of all 200 million known proteins. These are truly great achievements.” Watch the very moment the chemistry laureates received their Nobel Prize diplomas and medals during the 2024 Nobel Prize award ceremony. #NobelPrize

You hear all the noise about the risks of AI, but the opportunities are endless! Brilliant to see our local state school and Google Deep Minds team up at the intersection of biology, chemistry, and computing to solve one of the most complex riddles of the universe; and win the Nobel Prize in Chemistry this year! Proteomics is the key to understanding disease mechanisms, making new drug discoveries, and tweaking cellular processes by solving protein expression patterns. Computing is the solution and this breakthrough opens pandoras box.📦 Our kids have grown up in Washington State Universities including UW, and I have been amazed at the quality of education and research that the state schools put out here in the Pacific Northwest, especially the biochemistry and computing programs that I have been exposed to through parenting and hiring tons of graduates. This recognition is not a surprise to me and is representative of a broad community contributing collectively. #sciencematters #stemeducation