Locke, M, Lythe, G orcid.org/0000-0001-7966-5571, Lopez-Garcia, M et al. (3 more authors) (2021) Quantification of type I interferon inhibition by viral proteins Ebola virus as a case study. Viruses, 13 (12). 2441. ISSN 1999-4915
Abstract
Type I interferons (IFNs) are cytokines with both antiviral properties and protective roles in innate immune responses to viral infection. They induce an antiviral cellular state and link innate and adaptive immune responses. Yet, viruses have evolved different strategies to inhibit such host responses. One of them is the existence of viral proteins which subvert type I IFN responses to allow quick and successful viral replication, thus, sustaining the infection within a host. We propose mathematical models to characterise the intra-cellular mechanisms involved in viral protein antagonism of type I IFN responses, and compare three different molecular inhibition strategies. We study the Ebola viral protein, VP35, with this mathematical approach. Approximate Bayesian computation sequential Monte Carlo, together with experimental data and the mathematical models proposed, are used to perform model calibration, as well as model selection of the different hypotheses considered. Finally, we assess if model parameters are identifiable and discuss how such identifiability can be improved with new experimental data.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | type I interferon; virus; Ebola; mathematical model; immune response inhibition; antagonist protein |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Nov 2021 15:41 |
Last Modified: | 13 Mar 2022 07:18 |
Status: | Published |
Publisher: | MDPI |
Identification Number: | 10.3390/v13122441 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:180970 |