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Machine-learning approach expands the repertoire of anti-CRISPR protein families

Biology

Machine-learning approach expands the repertoire of anti-CRISPR protein families

A. B. Gussow, A. E. Park, et al.

Discover the groundbreaking advancements in CRISPR-Cas systems and their counteractions by anti-CRISPR proteins (Acrs). This exciting study showcases a novel machine-learning approach that has identified 2,500 potential Acr families and confirmed two new Acrs, significantly enriching our understanding of bacterial immunity. This remarkable research was conducted by Ayal B. Gussow and colleagues.

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