In recent years, the use of gene editing methods for treating various diseases has grown significantly, but one of the main challenges in this field is safety and reducing editing errors. Typically, there is a possibility of off-target errors during the gene editing process; although these errors are rare, they can cause serious problems when occurring in a large number of cells.
Recently, a group of researchers used the artificial intelligence software AlphaFold to identify and modify key regions of gene editing proteins that were the main causes of these errors. This approach significantly reduced the rate of unintended errors and increased the safety of gene editing-based treatments.