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Synergistic Synthetic Biology: Units in Concert

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, January 2013
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3 X users
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1 peer review site

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52 Mendeley
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Title
Synergistic Synthetic Biology: Units in Concert
Published in
Frontiers in Bioengineering and Biotechnology, January 2013
DOI 10.3389/fbioe.2013.00011
Pubmed ID
Authors

Jean-Yves Trosset, Pablo Carbonell

Abstract

Synthetic biology aims at translating the methods and strategies from engineering into biology in order to streamline the design and construction of biological devices through standardized parts. Modular synthetic biology devices are designed by means of an adequate elimination of cross-talk that makes circuits orthogonal and specific. To that end, synthetic constructs need to be adequately optimized through in silico modeling by choosing the right complement of genetic parts and by experimental tuning through directed evolution and craftsmanship. In this review, we consider an additional and complementary tool available to the synthetic biologist for innovative design and successful construction of desired circuit functionalities: biological synergies. Synergy is a prevalent emergent property in biological systems that arises from the concerted action of multiple factors producing an amplification or cancelation effect compared with individual actions alone. Synergies appear in domains as diverse as those involved in chemical and protein activity, polypharmacology, and metabolic pathway complementarity. In conventional synthetic biology designs, synergistic cross-talk between parts and modules is generally attenuated in order to verify their orthogonality. Synergistic interactions, however, can induce emergent behavior that might prove useful for synthetic biology applications, like in functional circuit design, multi-drug treatment, or in sensing and delivery devices. Synergistic design principles are therefore complementary to those coming from orthogonal design and may provide added value to synthetic biology applications. The appropriate modeling, characterization, and design of synergies between biological parts and units will allow the discovery of yet unforeseeable, novel synthetic biology applications.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 8%
Spain 1 2%
Unknown 47 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Student > Master 9 17%
Researcher 8 15%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 8 15%
Unknown 10 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 35%
Biochemistry, Genetics and Molecular Biology 4 8%
Engineering 4 8%
Medicine and Dentistry 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 7 13%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 November 2023.
All research outputs
#14,570,955
of 24,844,992 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,767
of 8,100 outputs
Outputs of similar age
#168,778
of 292,378 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#7
of 19 outputs
Altmetric has tracked 24,844,992 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,100 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 77% 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 292,378 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 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 68% of its contemporaries.