According to a recent publication in Nature Biotechnology, researchers from New York University, Columbia Engineering, and the New York Genome Center have discovered that artificial intelligence (AI) can accurately predict the on- and off-target activity of CRISPR tools that target RNA instead of DNA. This groundbreaking study combines a deep learning model with CRISPR screens, enabling researchers to control the expression of human genes in various ways. This precise gene control could lead to the development of novel CRISPR-based therapies.
CRISPR technology has garnered significant attention due to its versatility in biomedical applications, ranging from treating genetic diseases like sickle cell anemia to enhancing the characteristics of crops. Traditionally, CRISPR targets DNA using the Cas9 enzyme. However, scientists have recently uncovered an alternative form of CRISPR that targets RNA using the Cas13 enzyme.Continue reading… “AI Enables Predictive Power for RNA-Targeting CRISPR Tools, Facilitating Precise Gene Control”