Mechanistic effects of influenza in bronchial cells through poly-omic genome-scale modelling

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    Abstract

    In this work we propose regularised bi-level constraint-based modelling to determine the fluxomic profiles for four different influenza viruses, H7N9, H7M7, H3N2 and H5N1. We report here the first step of the analysis of the flux data using
    AutoSOME clustering, where we identify novel biomarkers of infection. This is a work in progress that can directly lead to novel therapeutic targets.
    Original languageEnglish
    Publication statusAccepted/In press - 16 May 2018
    EventIWBDA 2018: 10th International Workshop on Bio-Design Automation - Berkeley, CA, United States
    Duration: 31 Jul 20183 Aug 2018
    http://www.iwbdaconf.org/2018/

    Conference

    ConferenceIWBDA 2018
    CountryUnited States
    Period31/07/183/08/18
    Internet address

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