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Robust Design of Biological Circuits: Evolutionary Systems Biology Approach

Overview of attention for article published in BioMed Research International, December 2011
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Article details
Title
Robust Design of Biological Circuits: Evolutionary Systems Biology Approach
Published in
BioMed Research International, December 2011
DOI 10.1155/2011/304236
Pubmed ID
Authors
Abstract

Artificial gene circuits have been proposed to be embedded into microbial cells that function as switches, timers, oscillators, and the Boolean logic gates. Building more complex systems from these basic gene circuit components is one key advance for biologic circuit design and synthetic biology. However, the behavior of bioengineered gene circuits remains unstable and uncertain. In this study, a nonlinear stochastic system is proposed to model the biological systems with intrinsic parameter fluctuations and environmental molecular noise from the cellular context in the host cell. Based on evolutionary systems biology algorithm, the design parameters of target gene circuits can evolve to specific values in order to robustly track a desired biologic function in spite of intrinsic and environmental noise. The fitness function is selected to be inversely proportional to the tracking error so that the evolutionary biological circuit can achieve the optimal tracking mimicking the evolutionary process of a gene circuit. Finally, several design examples are given in silico with the Monte Carlo simulation to illustrate the design procedure and to confirm the robust performance of the proposed design method. The result shows that the designed gene circuits can robustly track desired behaviors with minimal errors even with nontrivial intrinsic and external noise.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 3 4%
United States 2 3%
Mexico 1 1%
France 1 1%
Unknown 61 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Researcher 14 21%
Student > Bachelor 6 9%
Student > Master 6 9%
Professor > Associate Professor 6 9%
Other 18 26%
Unknown 4 6%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 18 26%
Biochemistry, Genetics and Molecular Biology 16 24%
Engineering 11 16%
Computer Science 5 7%
Social Sciences 3 4%
Other 9 13%
Unknown 6 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 July 2012.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from BioMed Research International
#4,469
of 10,759 outputs
Outputs of similar age
#163,138
of 247,021 outputs
Outputs of similar age from BioMed Research International
#21
of 45 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,759 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 247,021 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.