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

Abstract

CRISPR-Cas is a host adaptive immunity system and viruses harbor diverse anti-CRISPR proteins (Acrs). Here, the authors develop a random forest machine-learning approach to predict Acrs, identifying 2500 candidate Acr families, which expand the current repertoire of predicted Acrs by two orders of magnitude.