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...
Main Authors: | Valeri, Jacqueline A, Collins, Katherine M, Ramesh, Pradeep, Alcantar, Miguel A, Lepe, Bianca A, Lu, Timothy K, Camacho, Diogo M |
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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 |
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