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🚀 Unveiling AlphaFold 3: A New Era in Molecular Biology!🌟 This month marks a revolutionary leap in science with AlphaFold 3 by Google DeepMind and Isomorphic Labs. This groundbreaking AI not only predicts protein structures but also the interactions of DNA, RNA, and small molecules with unmatched accuracy—50% beyond traditional methods! 💡✨ Imagine drug discovery accelerated like never before, unlocking cures once thought impossible. AlphaFold 3 makes this a reality, offering scientists around the world unprecedented insights and capabilities. 🌐🔬 Access may be limited, but the possibilities are endless. We're not just predicting structures; we're reimagining the very fabric of life. Join the revolution and witness the future today! #AlphaFold3 #DeepMind #AI #MolecularBiology #DrugDiscovery #Innovation Sources: [Nature](https://lnkd.in/gMZkbhwN), [Isomorphic Labs](https://lnkd.in/gDSKxGFs)

Scientists are calling for a global effort to create an AI virtual cell, leveraging recent advances in AI and large-scale experimental data. This virtual cell would simulate human biomolecules, cells, and tissues, revolutionizing our understanding of biology. Imagine AI guiding experiments and predicting cellular behavior with unprecedented accuracy. How can we harness AI to transform biological research and its applications? Share your thoughts on the future of AI in biology. #AIVirtualCell #BiologicalInnovation #GoHumanAI

The utility of AI within drug discovery and pre-clinical development heralds a new era of innovation in biomedical research.🧪   Download and read this whitepaper- https://lnkd.in/gYm7wTHf by David B. Jackson, Ph.D., Paul Denny-Gouldson and Aref Rafat to delve deeper into the intersection of machine intelligence and molecular biology, to reveal how AI is enabling a transformative shift in the conception and discovery of new therapeutic modalities.🔎   #AI #Drugdiscovery #Transformation 

The Future of Medicine: AI's Revolutionary Impact on Biology Exploring the potential of powerful AI to accelerate breakthroughs in medicine and biology. We discuss how just a few key discoveries could lead to unprecedented advancements, making predictions for the next hundred years more tangible. Discover what the future holds! #FutureOfMedicine #ArtificialIntelligence #BiologyBreakthroughs #MedicalInnovation #TechInHealthcare #AIRevolution #ProgressInScience #HealthcareFuture #AIForGood #ScienceAndTechnology

#AI has been used in biology before, but the recent breakthrough by DeepMind's AlphaFold is something different. It predicts the structures of almost all proteins in the human body, allowing scientists to see the inner workings of life with unprecedented clarity. #AlphaFold began this journey in 2018, but it was AlphaFold 2 in 2020 that truly amazed the world by winning the CASP14 competition. Fast forward to May 2024, and we have AlphaFold 3. This tool is 50% more accurate and can now predict structures for proteins and DNA, RNA, and even complex ligands. As a #Healthcare enthusiast, the rapidity of AlphaFold 3's predictions is truly remarkable, transforming what used to be years of work into mere seconds. This is a huge achievement, considering that in the early days, biologists spent months determining the structure of a single protein. Sure, AlphaFold 3 still has areas to improve, like its chirality error rate, but its impact on bioinformatics and drug discovery is undeniable. Dr. Demis Hassabis said, "This is the most significant contribution AI has made to advancing scientific knowledge." And I couldn't agree more. I am deeply appreciative of such inventions being made, contributing to the development of new drugs and disease treatments. Are you as excited as I am about this? Let me know in the comments. #Innovation #Biology

AI is ushering in a new era for biological research. At CZI, we’re building predictive models of cells that will advance our understanding of how healthy cells work and get us closer to new options for preventing and treating disease. Chan Zuckerberg Initiative and Chan Zuckerberg Biohub Network Read more about this in a new publication by my colleagues: https://bit.ly/49ekSMd #AI #CZI #BioHub #BHNetwork #OpenScience #Research #Publication

Explore how Delmic’s FAST-EM, combined with an AI-based mitochondrial model, enables researchers to automatically identify and analyze mitochondria across hundreds of cells, unlocking detailed insights into cellular health. What you’ll learn: - Imaging both tissue context and macromolecular ultrastructure using FAST-EM - Easy application of deep learning algorithms for organelle segmentation - The potential for large-scale quantitative morphometric analysis Download the white paper to learn more - https://bit.ly/3YuXWo5 #Delmic #FASTEM #ElectronMicroscopy #Mitochondria #AI #DeepLearning #CellularHealth #Morphometry #QuantitativeAnalysis #ResearchInnovation #WhitePaper #CellBiology #Biotechnology #LifeSciences #OrganelleSegmentation #Microscopy

MIT researchers have developed Boltz-1, a groundbreaking open-source AI model that matches AlphaFold3's capabilities in predicting protein structures. This innovation promises to accelerate biomedical research and democratize access to advanced structural biology tools. https://lnkd.in/e5gcZyr4

Curious about how AI is revolutionizing biology? Check out our latest article on AlphaFold.