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Fortune
Fortune
Technology
Jeremy Kahn

Google DeepMind publishes AI-powered predictions for the effect of all 9 billion possible single-point mutations to human DNA

Image of a DNA double helix. (Credit: Photo illustration of DNA double helix by Getty Images)

Google DeepMind said Tuesday that it has used artificial intelligence to predict the biological consequences of all 9 billion possible single-letter changes to human DNA, and is making the resulting database available free to academic researchers worldwide.

AlphaGenome Atlas, as DeepMind calls the database, is a precomputed catalogue of what each substitution of a single DNA base is likely to do to the machinery that switches genes on and off. Until now researchers had to run such a model one variant at a time or had to test variants in the laboratory, a process that was painstakingly slow. It would have taken many human lifetimes to discover the consequences of all 9 billion possible single-letter mutations.

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