Machine learning-coupled combinatorial mutagenesis enables resource-efficient engineering of CRISPR-Cas9 genome editor activities

The genome-editing Cas9 protein uses multiple amino-acid residues to bind the target DNA. Considering only the residues in proximity to the target DNA as potential sites to optimise Cas9’s activity, the number of combinatorial variants to screen through is too massive for a wet-lab experiment. Here...

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Detalles Bibliográficos
Autores principales: Thean, Dawn G. L., Chu, Hoi Yee, Fong, John H. C., Chan, Becky K. C., Zhou, Peng, Kwok, Cynthia C. S., Chan, Yee Man, Mak, Silvia Y. L., Choi, Gigi C. G., Ho, Joshua W. K., Zheng, Zongli, Wong, Alan S. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039034/
https://www.ncbi.nlm.nih.gov/pubmed/35468907
http://dx.doi.org/10.1038/s41467-022-29874-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039034/
https://www.ncbi.nlm.nih.gov/pubmed/35468907
http://dx.doi.org/10.1038/s41467-022-29874-5

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