PLoS Computational Biology · 2022 · 14 citations · 55 references
Molecular BiologyAntiviral DrugVirus StructureDrug ResistanceMarkov State ModelAntiviral Drug DevelopmentMolecular SimulationComputational BiochemistryMedicineVirologyNa MutantsPharmacologyMolecular ModelingAntiviral CompoundBiomolecular EngineeringNew Anti-influenza DrugsBinding PathwaysNatural SciencesInfluenza NeuraminidaseMolecular BiophysicsMolecular DockingSmall MoleculesDrug Discovery
Oseltamivir is a widely used influenza virus neuraminidase (NA) inhibitor that prevents the release of new virus particles from host cells. However, oseltamivir-resistant strains have emerged, but effective drugs against them have not yet been developed. Elucidating the binding mechanisms between NA and oseltamivir may provide valuable information for the design of new drugs against NA mutants resistant to oseltamivir. Here, we conducted large-scale (353.4 μs) free-binding molecular dynamics simulations, together with a Markov State Model and an importance-sampling algorithm, to reveal the binding process of oseltamivir and NA. Ten metastable states and five major binding pathways were identified that validated and complemented previously discovered binding pathways, including the hypothesis that oseltamivir can be transferred from the secondary sialic acid binding site to the catalytic site. The discovery of multiple new metastable states, especially the stable bound state containing a water-mediated hydrogen bond between Arg118 and oseltamivir, may provide new insights into the improvement of NA inhibitors. We anticipated the findings presented here will facilitate the development of drugs capable of combating NA mutations.
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VMD: Visual molecular dynamics
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