PLoS Computational Biology (Dec 2023)

Modelling the impact of JNJ-1802, a first-in-class dengue inhibitor blocking the NS3-NS4B interaction, on in-vitro DENV-2 dynamics.

  • Clare P McCormack,
  • Olivia Goethals,
  • Nele Goeyvaerts,
  • Xavier D Woot de Trixhe,
  • Peggy Geluykens,
  • Doortje Borrenberghs,
  • Neil M Ferguson,
  • Oliver Ackaert,
  • Ilaria Dorigatti

DOI
https://doi.org/10.1371/journal.pcbi.1011662
Journal volume & issue
Vol. 19, no. 12
p. e1011662

Abstract

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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.