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Genetic circuit design automation

Authors: Alec A K, Nielsen; Bryan S, Der; Jonghyeon, Shin; Prashant, Vaidyanathan; Vanya, Paralanov; Elizabeth A, Strychalski; David, Ross; +2 Authors

Genetic circuit design automation

Abstract

Programming circuitry for synthetic biology As synthetic biology techniques become more powerful, researchers are anticipating a future in which the design of biological circuits will be similar to the design of integrated circuits in electronics. Nielsen et al. describe what is essentially a programming language to design computational circuits in living cells. The circuits generated on plasmids expressed in Escherichia coli required careful insulation from their genetic context, but primarily functioned as specified. The circuits could, for example, regulate cellular functions in response to multiple environmental signals. Such a strategy can facilitate the development of more complex circuits by genetic engineering. Science , this issue p. 10.1126/science.aac7341

Keywords

Base Sequence, Escherichia coli, Gene Regulatory Networks, Programming Languages, Synthetic Biology, DNA, Base Pairing, Algorithms, Software, Biotechnology

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
880
Top 0.1%
Top 1%
Top 0.01%
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