Advancements in gene editing have shown promise in treating blood disorders like sickle cell anemia and beta thalassemia. Despite these gains, there are concerns about unintended outcomes from gene editing. A team from the University of Zurich has introduced an AI tool called Pythia, which predicts DNA repair outcomes post-gene editing to enhance precision. Their approach involves creating DNA repair templates informed by AI predictions. Successful tests on human cell cultures and lab animals indicate that this method allows for exact genetic modifications without disrupting cell functions or divisions.
DNA repair follows patterns; it's not random. We were able to model on a large scale that this DNA repair process obeys consistent rules that AI can learn and predict.
Our team has developed tiny DNA repair templates that act like molecular glue, guiding the cell to make precise genetic changes.
The experiments with Pythia could enable scientists to precisely change a few letters or insert strings of genetic code into their correct location.
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