Team uses AlphaFold AI to redesign gene-editing proteins to make them safer
Researchers have utilized Google's AlphaFold AI to identify and modify specific areas of gene-editing proteins that cause off-target errors. This advancement aims to improve the safety and precision of future gene-editing therapies.
Why it matters
Improving the accuracy of gene editing is a critical hurdle for the clinical adoption of life-saving genetic therapies.
Stay on target Team uses AlphaFold AI to redesign gene-editing proteins to make them safer Google’s AlphaFold can help ID what parts of a gene editing protein enable mistakes.
9 Credit: Anton Vierietin Credit: Anton Vierietin Text settings Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only Learn more Minimize to nav A couple of decades after the discovery of systems that could selectively target DNA, we’re starting to see the first therapies based on gene editing. One challenge these developments have faced is safety. While we can make them pretty specific to the gene we want edited, the human genome is very large, and even rare DNA sequences can appear a couple of times by chance.
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