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In a watershed moment for the realm of molecular exploration, researchers at the University of Basel and the SIB Swiss Institute of Bioinformatics have harnessed the transformative power of AI tools to unveil the hidden intricacies of millions of uncharacterized proteins. This groundbreaking endeavor, marked by the utilization of AlphaFold, an AI tool trained on over 50 years of protein data, has not only provided a glimpse into the three-dimensional structures of proteins but has unearthed 290 new protein families and a novel protein fold. The journey into this unexplored frontier, detailed in a recent publication in Nature, signifies a monumental leap in our understanding of the protein universe. The Protein Universe Atlas The researchers embarked on a comprehensive journey by constructing an interactive network comprising 53 million proteins, each with high-quality AlphaFold structures. This expansive network serves as a treasure trove for predicting unknown protein families and understanding their functions on a grand scale. Dr. Janani Durairaj, the first author, emphasizes the significance of this network, stating that it provides a valuable source for theoretical predictions and insights into unexplored protein territories. Within this vast protein landscape, the team identified 290 new protein families and stumbled upon an intriguing discovery—a novel protein fold resembling the delicate petals of a flower. This unprecedented finding expands our understanding of the sheer diversity and complexity inherent in the world of proteins. The interactive web resource, aptly named the “Protein Universe Atlas,” emerged as a result, offering scientists a platform to explore and comprehend the intricacies of these newly uncovered protein realms. AI as a catalyst for innovation in life sciences The researchers harnessed the power of Deep Learning-based tools to navigate and unearth novelties within the Protein Universe Atlas. This approach not only showcases the transformative potential of AI in life sciences…

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Filed under: News - @ November 13, 2023 5:22 am