We present the design and analysis of a synthetic gene network that performs frequency multiplication. It takes oscillatory transcription factor concentrations, such as those produced from the currently available genetic oscillators, as an input, and produces oscillations with half the input frequency as an output. Analysis of the bifurcation structure also reveals novel, programmable multi-functionality; in addition to functioning as a frequency multiplier, the network is able to function as a switch or an oscillator, depending on the temporal nature of the input. Multi-functionality is often observed in neuronal networks, where it is suggested to allow for the efficient coordination of different responses. This network represents a signif...
Engineering artificial networks from modular components is a major challenge in synthetic biology. I...
AbstractThe current rapid expansion of biological knowledge offers a great opportunity to rationally...
We show how a synthetic gene network can function, in an optimal window of noise, as a robust logic ...
We present the design and analysis of a synthetic gene network that performs frequency multiplicatio...
We present the design and analysis of a synthetic gene network that performs frequency multiplicatio...
Synthetic biology aims to engineer biological systems and components, ultimately for applications as...
Synthetic biology seeks to understand and engineer biological networks that perform a quantitative d...
Abstract: Synthetic biology is a rapidly expanding discipline at the interface between engineering a...
Networks of interacting biomolecules carry out many essential functions in living cells, but the ‘de...
abstract: Synthetic gene networks have evolved from simple proof-of-concept circuits to complex the...
Genetically encoded regulatory circuits control biological function. A major focus of systems biolog...
Thesis (Ph.D.)--Boston UniversitySynthetic biology is a field that is tending towards maturity. Synt...
Synthetic biology is focused on the rational construction of biological systems based on engineering...
The use of in silico simulations as a basis for designing artificial biological systems (and experim...
Thomas SA, Jin Y. Combining genetic oscillators and switches using evolutionary algorithms. In: 201...
Engineering artificial networks from modular components is a major challenge in synthetic biology. I...
AbstractThe current rapid expansion of biological knowledge offers a great opportunity to rationally...
We show how a synthetic gene network can function, in an optimal window of noise, as a robust logic ...
We present the design and analysis of a synthetic gene network that performs frequency multiplicatio...
We present the design and analysis of a synthetic gene network that performs frequency multiplicatio...
Synthetic biology aims to engineer biological systems and components, ultimately for applications as...
Synthetic biology seeks to understand and engineer biological networks that perform a quantitative d...
Abstract: Synthetic biology is a rapidly expanding discipline at the interface between engineering a...
Networks of interacting biomolecules carry out many essential functions in living cells, but the ‘de...
abstract: Synthetic gene networks have evolved from simple proof-of-concept circuits to complex the...
Genetically encoded regulatory circuits control biological function. A major focus of systems biolog...
Thesis (Ph.D.)--Boston UniversitySynthetic biology is a field that is tending towards maturity. Synt...
Synthetic biology is focused on the rational construction of biological systems based on engineering...
The use of in silico simulations as a basis for designing artificial biological systems (and experim...
Thomas SA, Jin Y. Combining genetic oscillators and switches using evolutionary algorithms. In: 201...
Engineering artificial networks from modular components is a major challenge in synthetic biology. I...
AbstractThe current rapid expansion of biological knowledge offers a great opportunity to rationally...
We show how a synthetic gene network can function, in an optimal window of noise, as a robust logic ...