Quality and Capacity Analysis of Molecular Communications in Bacterial Synthetic Logic Circuits

Martins, Daniel P. and Barros, Michael Taynnan and Balasubramaniam, Sasitharan (2019) Quality and Capacity Analysis of Molecular Communications in Bacterial Synthetic Logic Circuits. IEEE Transactions on Nanobioscience, 18 (4). pp. 628-639. ISSN 1536-1241

Full text not available from this repository.


Synthetic logic circuits have been proposed as potential solutions for theranostics of biotechnological problems. One proposed model is the engineering of bacteria cells to create logic gates, and the communication between the bacteria populations will enable the circuit operation. In this paper, we analyze the quality of bacteria-based synthetic logic circuit through molecular communications that represent communication along a bus between three gates. In the bacteria-based synthetic logic circuit, the system receives environmental signals as molecular inputs and will process this information through a cascade of synthetic logic gates and free diffusion channels. We analyze the performance of this circuit by evaluating its quality and its relationship to the channel capacity of the molecular communications links that interconnect the bacteria populations. Our results show the effect of the molecular environmental delay and molecular amplitude differences over both the channel capacity and circuit quality. Furthermore, based on these metrics, we also obtain an optimum region for the circuit operation resulting in an accuracy of 80% for specific conditions. These results show that the performance of synthetic biology circuits can be evaluated through molecular communications, and lays the groundwork for combined systems that can contribute to future biomedical and biotechnology applications.

Item Type: Article
Additional Information: Funding Information: Manuscript received March 30, 2019; revised May 22, 2019 and July 14, 2019; accepted July 22, 2019. Date of publication July 25, 2019; date of current version October 18, 2019. This work was supported in part by the Science Foundation Ireland through the CONNECT Research Center under Grant 13/RC/2077, in part by the Science Foundation Ireland through the VistaMilk Research Centre under Grant 16/RC/3835, and in part by the Academy of Finland Research Fellow under Grant 284531. (Corresponding author: Daniel P. Martins.) D. P. Martins and M. T. Barros are with the Telecommunication Software and Systems Group (TSSG), Waterford Institute of Technology (WIT), Waterford, X91 P20H Ireland (e-mail: dpmartins@tssg.org). Publisher Copyright: © 2002-2011 IEEE.
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1300/1305
Departments or Groups:
Depositing User: Admin SSL
Date Deposited: 19 Oct 2022 23:08
Last Modified: 28 Jul 2023 04:45
URI: http://repository-testing.wit.ie/id/eprint/4232

Actions (login required)

View Item View Item