Machine learning-inferred and energy landscape-guided analyses reveal kinetic determinants of CRISPR/Cas9 gene editing
L. Jin, R. Liyanage, D. Duan, S.-J. Chen
This study combines machine learning and energy landscape analysis to identify kinetic determinants of CRISPR/Cas9 gene editing, revealing a three-state mechanism and critical nucleotides for cleavage efficiency.
bioRxiv · Apr 30, 2024Biophysics