Dynamical Task Switching in Cellular Computers
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Life |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1729/9/1/14 |
| _version_ | 1811301397312831488 |
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| author | Angel Goñi-Moreno Fernando de la Cruz Alfonso Rodríguez-Patón Martyn Amos |
| author_facet | Angel Goñi-Moreno Fernando de la Cruz Alfonso Rodríguez-Patón Martyn Amos |
| author_sort | Angel Goñi-Moreno |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T07:08:08Z |
| format | Article |
| id | doaj.art-cea44e24acc54287aa544ca3317b7da6 |
| institution | Directory Open Access Journal |
| issn | 2075-1729 |
| language | English |
| last_indexed | 2024-04-13T07:08:08Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Life |
| spelling | doaj.art-cea44e24acc54287aa544ca3317b7da62022-12-22T02:56:56ZengMDPI AGLife2075-17292019-01-01911410.3390/life9010014life9010014Dynamical Task Switching in Cellular ComputersAngel Goñi-Moreno0Fernando de la Cruz1Alfonso Rodríguez-Patón2Martyn Amos3School of Computing, Newcastle University, Newcastle Upon Tyne NE4 5TG, UKInstituto de Biomedicina y Biotecnología de Cantabria, Universidad de Cantabria, 39011 Santander, SpainDepartamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 28660 Madrid, SpainDepartment of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UKWe 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.https://www.mdpi.com/2075-1729/9/1/14synthetic biologycellular computingplasmids |
| spellingShingle | Angel Goñi-Moreno Fernando de la Cruz Alfonso Rodríguez-Patón Martyn Amos Dynamical Task Switching in Cellular Computers Life synthetic biology cellular computing plasmids |
| title | Dynamical Task Switching in Cellular Computers |
| title_full | Dynamical Task Switching in Cellular Computers |
| title_fullStr | Dynamical Task Switching in Cellular Computers |
| title_full_unstemmed | Dynamical Task Switching in Cellular Computers |
| title_short | Dynamical Task Switching in Cellular Computers |
| title_sort | dynamical task switching in cellular computers |
| topic | synthetic biology cellular computing plasmids |
| url | https://www.mdpi.com/2075-1729/9/1/14 |
| work_keys_str_mv | AT angelgonimoreno dynamicaltaskswitchingincellularcomputers AT fernandodelacruz dynamicaltaskswitchingincellularcomputers AT alfonsorodriguezpaton dynamicaltaskswitchingincellularcomputers AT martynamos dynamicaltaskswitchingincellularcomputers |