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Updated: Aug 6, 2025

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Enhanced Genome Editing with Cas9 Ribonucleoprotein in Diverse Cells and Organisms
Published on: May 25, 2018
34.2K
The Electronic Structure of Genome Editors from the First Principles
Łukasz Nierzwicki1, Mohd Ahsan1, Giulia Palermo1,2
1Department of Bioengineering, University of California Riverside, 900 University Avenue, Riverside, CA 52512, United States.
Summary
First-principles molecular dynamics (MD) simulations provide deep insights into CRISPR-Cas9 enzyme function. These methods aid in understanding DNA cleavage mechanisms and engineering more efficient genome editing tools.
Area of Science:
- Biochemistry
- Computational Biology
- Molecular Biophysics
Background:
- CRISPR-Cas9 gene editing technology has revolutionized multiple scientific fields.
- Understanding the precise enzymatic mechanisms of Cas9 is crucial for its advancement.
Purpose of the Study:
- To elucidate the role of first-principles (ab-initio) molecular dynamics (MD) in advancing CRISPR-Cas9 technology.
- To provide profound insights into the enzymatic function and guide enzyme engineering for improved genome editing tools.
Main Methods:
- Utilized ab-initio MD simulations to characterize the two-metal dependent DNA cleavage mechanism in the Cas9 RuvC domain.
- Employed free-energy methods (thermodynamic integration, metadynamics) combined with ab-initio MD to map chemical landscapes and catalytic mechanisms.
- Incorporated constant pH MD simulations to determine catalytic residue protonation states.
Main Results:
- Detailed characterization of the dual-metal dependent DNA cleavage by the RuvC domain and single-metal ion assistance in the HNH domain.
- Established the catalytic mechanism of CRISPR-Cas9 by analyzing the electronic structure and chemical landscape.
- Accurate prediction of catalytic residue protonation states using classical MD methods.
Conclusions:
- First-principles methods offer unprecedented understanding of CRISPR-Cas9's electronic structure and catalytic activity.
- These computational insights are invaluable for designing next-generation genome editing tools with enhanced efficiency and control.
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