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Scaling up genetic circuit design for cellular computing: advances and prospects
Scaling up genetic circuit design for cellular computing: advances and prospects
- Source :
- Xiang, Y, Dalchau, N & Wang, B 2018, ' Scaling up genetic circuit design for cellular computing : advances and prospects ', Natural Computing, vol. 17, no. 4, pp. 833-853 . https://doi.org/10.1007/s11047-018-9715-9, Natural Computing
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- Synthetic biology aims to engineer and redesign biological systems for useful real-world applications in biomanufacturing, biosensing and biotherapy following a typical design-build-test cycle. Inspired from computer science and electronics, synthetic gene circuits have been designed to exhibit control over the flow of information in biological systems. Two types are Boolean logic inspired TRUE or FALSE digital logic and graded analog computation. Key principles for gene circuit engineering include modularity, orthogonality, predictability and reliability. Initial circuits in the field were small and hampered by a lack of modular and orthogonal components, however in recent years the library of available parts has increased vastly. New tools for high throughput DNA assembly and characterization have been developed enabling rapid prototyping, systematic in situ characterization, as well as automated design and assembly of circuits. Recently implemented computing paradigms in circuit memory and distributed computing using cell consortia will also be discussed. Finally, we will examine existing challenges in building predictable large-scale circuits including modularity, context dependency and metabolic burden as well as tools and methods used to resolve them. These new trends and techniques have the potential to accelerate design of larger gene circuits and result in an increase in our basic understanding of circuit and host behaviour.
- Subjects :
- Cellular computing
0301 basic medicine
Rapid prototyping
Modularity (networks)
business.industry
Computer science
Circuit design
Genetic logic gates
Context (language use)
Modular design
Article
Genetic circuit
Computer Science Applications
03 medical and health sciences
Synthetic biology
030104 developmental biology
Computer architecture
Biodesign automation
Analog computation
Electronics
business
Electronic circuit
Subjects
Details
- ISSN :
- 15729796 and 15677818
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Natural Computing
- Accession number :
- edsair.doi.dedup.....e6d862de3f852bf01cfb08c3537aa107
- Full Text :
- https://doi.org/10.1007/s11047-018-9715-9