McCormack, Clare P. and Goethals, Olivia and Goeyvaerts, Nele and Woot de Trixhe, Xavier D. and Geluykens, Peggy and Borrenberghs, Doortje and Ferguson, Neil M. and Ackaert, Oliver and Dorigatti, Ilaria and Perkins, Alex (2023) Modelling the impact of JNJ-1802, a first-in-class dengue inhibitor blocking the NS3-NS4B interaction, on in-vitro DENV-2 dynamics. PLOS Computational Biology, 19 (12). e1011662. ISSN 1553-7358
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Abstract
Dengue virus (DENV) is a public health challenge across the tropics and subtropics. Currently, there is no licensed prophylactic or antiviral treatment for dengue. The novel DENV inhibitor JNJ-1802 can significantly reduce viral load in mice and non-human primates. Here, using a mechanistic viral kinetic model calibrated against viral RNA data from experimental in-vitro infection studies, we assess the in-vitro inhibitory effect of JNJ-1802 by characterising infection dynamics of two DENV-2 strains in the absence and presence of different JNJ-1802 concentrations. Viral RNA suppression to below the limit of detection was achieved at concentrations of >1.6 nM, with a median concentration exhibiting 50% of maximal inhibitory effect (IC50) of 1.23x10-02 nM and 1.28x10-02 nM for the DENV-2/RL and DENV-2/16681 strains, respectively. This work provides important insight into the in-vitro inhibitory effect of JNJ-1802 and presents a first step towards a modelling framework to support characterization of viral kinetics and drug effect across different host systems.
Item Type: | Article |
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Subjects: | STM Library > Biological Science |
Depositing User: | Managing Editor |
Date Deposited: | 10 Apr 2024 12:04 |
Last Modified: | 10 Apr 2024 12:04 |
URI: | http://open.journal4submit.com/id/eprint/3808 |