AI identifies interactions in CRISPR complexes to improve specificity of DNA editing

AlphaFold3 predictions of the molecular contacts made by a genome-editing enzyme have been used to improve the enzyme’s selectivity for target DNA sequences.

Email Bluesky Facebook LinkedIn Reddit Whatsapp X Access through your institution Buy or subscribe Tiny shifts of less than one ten-billionth of a metre in the gap between an enzyme and its target might seem too subtle to measure directly, or to predict with artificial intelligence. Yet such shifts are exactly what Meng et al . 1 , writing in Nature , have leveraged to improve the fidelity of ‘base editors’ — a class of genome-rewriting tools that can make single-nucleotide changes at targeted sites, offering potential for treating many genetic diseases. By using AI to predict the structures o

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