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Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy

2021-11-04

Abstract excerpt

Adeno-associated viruses (AAVs) hold tremendous promise as delivery vectors for clinical gene therapy, but they need improvement. AAVs with enhanced properties, such as more efficient and/or cell-type specific infection, can be engineered by creating a large, diverse starting library and screening for desired phenotypes, in some cases iteratively. Although this approach has succeeded in numerous specific cases, su...

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Identifiers and source

Literature Corpus work
e6f448b6-4576-5a7f-811f-2ac20d0f16b2
DOI
10.1101/2021.11.02.467003
Open publication

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Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapyDOI 10.1101/2021.11.02.467003
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