Isomorphic Labs, a spinoff of Google and DeepMind, has developed a new AI model that reportedly is able to predict the structures and interactions of every life’s molecule with greater accuracy than current tools. DeepMind’s co-founder Demis Hassabis states that AlphaFold 3 “can predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy including proteins, DNA and RNA.” The interactions between proteins, which can range from enzymes vital to human metabolism to antibodies that combat infectious diseases, are crucial for drug discovery and development. DeepMind announced that the results, which were published in the research journal Nature on May 8, could significantly decrease the time and cost required to develop treatments that may change lives. “With these new capabilities, we can design a molecule that will bind to a specific place on a protein, and we can predict how strongly it will bind,” Hassabis said in a press statement. We're excited to announce #AlphaFold 3 with @GoogleDeepMind in @Nature: our new AI model for predicting biomolecule structures with unprecedented breadth and accuracy. Expanding beyond proteins to tackle DNA, RNA, small molecules to fuel advances in biology & drug design

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