期刊
LIFE-BASEL
卷 9, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/life9010014
关键词
synthetic biology; cellular computing; plasmids
资金
- UK Engineering and Physical Sciences Research Council [UK-EPSRC-EP/R019002/1]
- European Union [EU-H2020-BIOTEC-820699]
- MINECO AEI/FEDER, EU [TIN2016-81079-R]
- Madrid Gov. project, InGEMICS-CM (FSE/FEDER, EU) [B2017/BMD-3691]
- Ministry of Science and Technology (Spain) [BFU2017-86378-P]
- EPSRC [EP/R019002/1] Funding Source: UKRI
We present a scheme for implementing a version of task switching in engineered bacteria, based on the manipulation of plasmid copy numbers. Our method allows for the embedding of multiple computations in a cellular population, whilst minimising resource usage inefficiency. We describe the results of computational simulations of our model, and discuss the potential for future work in this area.
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