Das größte AI-Biologie-Modell schreibt DNA auf Bedarf | Ein künstliches Intelligenznetzwerk, das auf einer riesigen Menge von Sequenzdaten trainiert wurde, ist ein Schritt zum Entwerfen völlig neuer Genome.

„The model — which was trained on 128,000 genomes spanning the tree of life, from humans to single-celled bacteria and archaea — can write whole chromosomes and small genomes from scratch. It can also make sense of existing DNA, including hard-to-interpret ‘non-coding’ gene variants that are linked to disease.

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.“