Computational Models for Trapping Ebola Virus Using Engineered Bacteria

Martins, Daniel P. and Barros, Michael Taynnan and Pierobon, Massimiliano and Kandhavelu, Meenakshisundaram and Lio', Pietro and Balasubramaniam, Sasitharan (2018) Computational Models for Trapping Ebola Virus Using Engineered Bacteria. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15 (6). pp. 2017-2027. ISSN 1545-5963

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Official URL: http://dx.doi.org/10.1109/TCBB.2018.2836430

Abstract

The outbreak of Ebola virus in recent years has resulted in numerous research initiatives to seek new solutions to contain the virus. A number of approaches that have been investigated include new vaccines to boost the immune system. An alternative post-exposure treatment is presented in this paper. The proposed approach for clearing Ebola virus can be developed through a microfluidic attenuator, which contains the engineered bacteria that traps Ebola flowing through the blood onto its membrane. The paper presents the analysis of the chemical binding force between the virus and a genetically engineered bacterium considering the opposing forces acting on the attachment point, including hydrodynamic tension and drag force. To test the efficacy of the technique, simulations of bacterial motility within a confined area to trap the virus were performed. More than 60% of the displaced virus could be collected within 15 minutes. While the proposed approach currently focuses on in vitro environments for trapping the virus, the system can be further developed into the future for treatment whereby blood can be cycled out of the body into a microfluidic device that contains the engineered bacteria to trap viruses.

Item Type: Article
Departments or Groups: Telecommunications Software and Systems Group
Depositing User: Admin SSL
Date Deposited: 08 Apr 2019 15:49
Last Modified: 08 Apr 2019 16:14
URI: http://repository.wit.ie/id/eprint/3337

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