Researchers use machine learning to engineer 'bespoke enzymes' for gene editing
Science Daily: Pharmacology News
APRIL 22, 2025
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 enzymes.
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