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

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 m...

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Autores principales: Ayal B. Gussow, Allyson E. Park, Adair L. Borges, Sergey A. Shmakov, Kira S. Makarova, Yuri I. Wolf, Joseph Bondy-Denomy, Eugene V. Koonin
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/ebeb6afe4a8347318cf5044cb7657ab8
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