sgRNA design optimization with AI and quantum biology
Researchers advance understanding of single guide RNA (sgRNA) design to optimize CRISPR/Cas9 cutting efficiency using an explainable AI model.
Researchers at Oak Ridge National Laboratory (TN, USA) used AI, quantum biology and bioengineering to improve sgRNA design for gene editing with CRISPR/Cas9, especially in microbes. This could have implications for drug development and modifying microbes for renewable fuels and chemical production.
