Computational Models for Trapping Ebola Virus Using Engineered Bacteria

Daniel Martins, Michael Taynnan Barros, Massimiliano Pierobon, Meenakshisundaram Kandhavelu, Pietro Lio, Sasitharan Balasubramaniam

    Research output: Contribution to journalArticleScientificpeer-review

    4 Citations (Scopus)

    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.
    Original languageEnglish
    JournalIEEE - ACM Transactions on Computational Biology and Bioinformatics
    Volume15
    Issue number6
    DOIs
    Publication statusPublished - May 2018
    Publication typeA1 Journal article-refereed

    Publication forum classification

    • Publication forum level 2

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