Bringing neural networks to life DOI
Kate E. Galloway, Christopher Johnstone

Science, Год журнала: 2024, Номер 386(6727), С. 1225 - 1226

Опубликована: Дек. 12, 2024

A synthetic protein-based winner-take-all neural network controls cell fate decisions.

Язык: Английский

Machine learning for synthetic gene circuit engineering DOI
Sebastian Palacios,

James J. Collins,

Domitilla Del Vecchio

и другие.

Current Opinion in Biotechnology, Год журнала: 2025, Номер 92, С. 103263 - 103263

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

1

Synthetic gene circuits in plants: recent advances and challenges DOI Creative Commons
Muhammad Adil Khan, Ryan Lister

Quantitative Plant Biology, Год журнала: 2025, Номер 6

Опубликована: Янв. 1, 2025

Plant synthetic biology is a rapidly advancing multidisciplinary research area that applies engineering principles to design, construct, and implement new plant capabilities at the molecular, cellular, whole organism scales. Synthetic gene circuits are important tools for enabling increased customizability in control of expression plants, with widespread applications spanning approaches basic introduction traits agriculture. In this review, we first aimed provide comprehensive understanding circuits. Next, discuss recent progress construction advanced plants programmable expression. Finally, current challenges associated developing applying effective while also highlighting future prospects directions, including quantitative measurement, high-throughput testing, circuit modelling.

Язык: Английский

Процитировано

0

Bringing neural networks to life DOI
Kate E. Galloway, Christopher Johnstone

Science, Год журнала: 2024, Номер 386(6727), С. 1225 - 1226

Опубликована: Дек. 12, 2024

A synthetic protein-based winner-take-all neural network controls cell fate decisions.

Язык: Английский

Процитировано

0