Efficient Polymer-Mediated Delivery of Gene-Editing Ribonucleoprotein Payloads through Combinatorial Design, Parallelized Experimentation, and Machine Learning.
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DOI: 10.1021/acsnano.0c08549
Abstract: Chemically defined vectors such as cationic polymers are versatile alternatives to engineered viruses for the delivery of genome-editing payloads. However, their clinical translation hinges on rapidly exploring vast chemical design spaces and deriving structure-function relationships… read more here.
Keywords: editing efficiency; machine learning; delivery; design parallelized ... See more keywords