AI Algorithm Discovers 188 Novel CRISPR Gene-Editing Systems

Researchers at MIT and Harvard have used AI to analyze billions of genetic sequences from open-source databases and identified nearly 200 potential new systems for CRISPR gene editing. The AI algorithm scoured databases containing genomes from uncommon bacteria, including those found in breweries, coal mines, and even dog saliva. The newly discovered CRISPR systems include variations that could improve precision and reduce side effects, as well as systems targeting RNA. While it is still early to determine their potential for human gene editing, the AI tool provides a valuable resource for further exploration and understanding of the diversity of CRISPR systems in nature.