Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning

Abstract mRNA therapeutics are revolutionizing the pharmaceutical industry, but methods to optimize the primary sequence for increased expression are still lacking. Here, we design 5’UTRs for efficient mRNA translation using deep learning. We perform polysome profiling of fully or partially randomiz...

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出版年:	Nature Communications
主要な著者:	Sebastian Castillo-Hair, Stephen Fedak, Ban Wang, Johannes Linder, Kyle Havens, Michael Certo, Georg Seelig
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2024-06-01
オンライン･アクセス:	https://doi.org/10.1038/s41467-024-49508-2