Google DeepMind's AlphaFold system has significantly accelerated biological research over the past five years, being cited in over 35,000 papers and incorporated into the methodology of more than 200,000 others. Researchers using AlphaFold 2 have reported a more than 40% increase in submitting novel experimental protein structures, with their work being more likely to be cited in clinical articles and patents. The latest iteration, AlphaFold 3, expands its predictive capabilities to DNA, RNA, and ligands, aiming to transform drug discovery and usher in an era of 'digital biology' through its ability to predict the structure and interactions of all life's molecules. AI
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RANK_REASON This cluster discusses the impact and advancements of an AI system in biological research, including a new version of the model, fitting the 'research' bucket.
