Deep learning-guided engineering of SpuFz1 and rational miniaturization of ωRNA enables efficient genome editing.

Abstract excerpt

Advancing the performance of programmable genome editing nucleases remains a key challenge in expanding their research and therapeutic applications. Here, we introduce a scalable deep learning-guided protein engineering framework for improving nuclease activity without requiring experimental training data. As a demonstration, we apply this strategy to SpuFz1, a compact Fanzor nuclease of eukaryotic origin,...

Topics

• Humans
• Animals
• Gene Editing
• Mice
• Deep Learning
• Protein Engineering
• RNA, Guide, CRISPR-Cas Systems