Sequence-to-function deep learning frameworks for engineered riboregulators

The design of synthetic biology circuits remains challenging due to poorly understood design rules. Here the authors introduce STORM and NuSpeak, two deep-learning architectures to characterize and optimize toehold switches.

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Auteurs principaux: Jacqueline A. Valeri, Katherine M. Collins, Pradeep Ramesh, Miguel A. Alcantar, Bianca A. Lepe, Timothy K. Lu, Diogo M. Camacho
Format: article
Langue:EN
Publié: Nature Portfolio 2020
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Accès en ligne:https://doaj.org/article/d92e1c3c09eb4750aa706310533722cf
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