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Dynamical Task Switching in Cellular Computers

School of Computing, Newcastle University, Newcastle Upon Tyne NE4 5TG, UK
Instituto de Biomedicina y Biotecnología de Cantabria, Universidad de Cantabria, 39011 Santander, Spain
Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 28660 Madrid, Spain
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
Author to whom correspondence should be addressed.
Received: 28 November 2018 / Revised: 23 December 2018 / Accepted: 23 January 2019 / Published: 26 January 2019
(This article belongs to the Special Issue Synthetic Biology: From Living Computers to Terraformation)
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. View Full-Text
Keywords: synthetic biology; cellular computing; plasmids synthetic biology; cellular computing; plasmids
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MDPI and ACS Style

Goñi-Moreno, A.; de la Cruz, F.; Rodríguez-Patón, A.; Amos, M. Dynamical Task Switching in Cellular Computers. Life 2019, 9, 14.

AMA Style

Goñi-Moreno A, de la Cruz F, Rodríguez-Patón A, Amos M. Dynamical Task Switching in Cellular Computers. Life. 2019; 9(1):14.

Chicago/Turabian Style

Goñi-Moreno, Angel, Fernando de la Cruz, Alfonso Rodríguez-Patón, and Martyn Amos. 2019. "Dynamical Task Switching in Cellular Computers" Life 9, no. 1: 14.

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