Machine learning predicts new anti-CRISPR proteins

The increasing use of CRISPR–Cas9 in medicine, agriculture, and synthetic biology has accelerated the drive to discover new CRISPR–Cas inhibitors as potential mechanisms of control for gene editing applications. Many anti-CRISPRs have been found that inhibit the CRISPR–Cas adaptive immune system. Ho...

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Detalles Bibliográficos
Autores principales: Eitzinger, Simon, Asif, Amina, Watters, Kyle E, Iavarone, Anthony T, Knott, Gavin J, Doudna, Jennifer A, Minhas, Fayyaz ul Amir Afsar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229843/
https://www.ncbi.nlm.nih.gov/pubmed/32286628
http://dx.doi.org/10.1093/nar/gkaa219

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229843/
https://www.ncbi.nlm.nih.gov/pubmed/32286628
http://dx.doi.org/10.1093/nar/gkaa219

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