期刊
NATURAL COMPUTING
卷 17, 期 4, 页码 833-853出版社
SPRINGER
DOI: 10.1007/s11047-018-9715-9
关键词
Cellular computing; Synthetic biology; Genetic circuit; Genetic logic gates; Analog computation; Biodesign automation
类别
资金
- UK Biotechnology and Biological Sciences Research Council [BB/N007212/1]
- Leverhulme Trust [RPG-2015445]
- UK Engineering and Physical Sciences Research Council iCASE PhD scholarship
- Microsoft Research Cambridge
- BBSRC [BB/N007212/1] Funding Source: UKRI
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, predictabilityand 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.
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