Researchers use machine learning to engineer 'bespoke enzymes' for gene editing

Researchers use machine learning to engineer 'bespoke enzymes' for gene editing

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein engineering combined with machine learning to boost progress in the field of gene and cell therapy. In their study, authors developed a machine learning algorithm -- known as PAMmla -- that can predict the properties of about 64 million genome editing e…