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Biggest-ever AI biology model writes DNA on demand | An artificial-intelligence network trained on a vast trove of sequence data is a step towards designing completely new genomes.
An artificial-intelligence network trained on a vast trove of sequence data is a step towards designing completely new genomes.
Evo-2, co-developed by researchers at the Arc Institute and Stanford University, both in Palo Alto, California, and chip maker NVIDIA, is available to scientists through web interfaces or they can download its freely available software code, data and other parameters needed to replicate the model. “We’re really looking forward to how scientists and engineers build this ‘app store’ for biology,” Patrick Hsu, a bioengineer at the Arc Institute and the University of California, Berkeley, said at a press briefing announcing Evo-2’s launch. To demonstrate its ability to make sense of complex genomes, Hsu and his colleagues used Evo-2 to predict the effects of previously studied mutations in a gene implicated in breast cancer called BRCA1.
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