An explanation of a mechanism-informed machine learning model that predicts prime editing efficiencies by modeling biochemical steps and training across diverse datasets.
Key Takeaways
- Precision gene-editing technologies have revolutionized research in the life sciences
- Is a versatile gene-editing method that uses a programmable nickase and a PE guide RNA (pegRNA)
- PE can install virtually any substitution, small insertion, small deletion