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A new AI model, named AlphaFold 3, has been developed by Google DeepMind and Isomorphic Labs, significantly advancing the prediction of biomolecular structures and interactions. Unlike its predecessor which focused primarily on proteins, AlphaFold 3 can model a wide range of biomolecules including DNA, RNA, and small molecules (ligands), and crucially, how they interact with …

A new AI model, named AlphaFold 3, has been developed by Google DeepMind and Isomorphic Labs, significantly advancing the prediction of biomolecular structures and interactions. Unlike its predecessor which focused primarily on proteins, AlphaFold 3 can model a wide range of biomolecules including DNA, RNA, and small molecules (ligands), and crucially, how they interact with each other. This breakthrough is expected to accelerate drug discovery and research in areas like genomics and agriculture by providing a more holistic view of cellular machinery. The model’s architecture has been fundamentally redesigned, moving to a diffusion-based approach similar to that used in AI image generators, which allows it to generate accurate, joint molecular structures. While the core model is freely available for non-commercial research via a public server, access to the underlying code for commercial applications is more restricted, a point of some debate within the scientific community. Read the full article at: https://example.com/full-article

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