Synthetic Gene Circuits Learn to Classify

Synthetic Gene Circuits Learn to Classify.

An efficient computational algorithm is developed to design microRNA-based synthetic cell classifiers and to optimize their performance.

Synthetic Gene Circuits

Barbara Jusiak1,2, Ramiz Daniel1,3, Fahim Farzadfard2–5, Lior Nissim1,3, Oliver Purcell2,3, Jacob Rubens1,3,5, and Timothy K. Lu1–6 1Massachusetts Institute of Technology, Research Laboratory of Electronics, Cambridge, MA 02139, USA 2Massachusetts Institute of Technology, Department of Biological Engineering, Cambridge, MA 02139, USA 3Massachusetts Institute of Technology, Synthetic Biology Cen...

Synthetic biology: integrated gene circuits.

A major goal of synthetic biology is to develop a deeper understanding of biological design principles from the bottom up, by building circuits and studying their behavior in cells. Investigators initially sought to design circuits "from scratch" that functioned as independently as possible from the underlying cellular system. More recently, researchers have begun to develop a new generation of...

Nanobiotechnology: Scaling up synthetic gene circuits.

Automatic Design of Digital Synthetic Gene Circuits

De novo computational design of synthetic gene circuits that achieve well-defined target functions is a hard task. Existing, brute-force approaches run optimization algorithms on the structure and on the kinetic parameter values of the network. However, more direct rational methods for automatic circuit design are lacking. Focusing on digital synthetic gene circuits, we developed a methodology ...