Sequence-to-function deep learning frameworks for engineered riboregulators

Sequence-to-function deep learning frameworks for engineered riboregulators

© 2020, The Author(s). While synthetic biology has revolutionized our approaches to medicine, agriculture, and energy, the design of completely novel biological circuit components beyond naturally-derived templates remains challenging due to poorly understood design rules. Toehold switches, which ar...

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Bibliographic Details
Main Authors: Valeri, Jacqueline A, Collins, Katherine M, Ramesh, Pradeep, Alcantar, Miguel A, Lepe, Bianca A, Lu, Timothy K, Camacho, Diogo M
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2021
Online Access:https://hdl.handle.net/1721.1/134432

Internet

https://hdl.handle.net/1721.1/134432

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