Computational exploration of Zika virus RNA-dependent RNA polymerase inhibitors: a promising antiviral drug discovery approach

The emergence of the Zika virus, which belongs to the Flaviviridae family, became a significant worldwide health issue due to its link with severe neurological complications. The RNA-dependent RNA polymerase (RdRp) of the Zika virus plays a significant part in the replication of the virus and is considered a promising candidate for antiviral drug identification. In this study, we employed computer-based drug discovery approaches to identify potential natural compounds that could act as inhibitors against the RdRp protein of the Zika virus. A comprehensive virtual screening strategy was implemented using the MTiOpenScreen webserver to identify natural compounds from the NP-Lib database. Four natural compounds having the ZINC ID–ZINC000253499147, ZINC000299817665, ZINC000044404209, and ZINC000253388535 were selected based on the binding score revealed during virtual screening. Molecular docking simulations of these selected compounds and reference compounds were performed to assess the binding affinities and the molecular bonds formed during the docking. Additionally, molecular dynamics (MD) simulations, endpoint free binding energy calculation and principal component analysis (PCA) were performed to evaluate the stability and dynamics of the protein-ligand complexes. These compounds exhibited favourable binding energies and formed stable interactions within the active site of the RdRp protein. Moreover, the molecular dynamics simulations revealed the robustness of the protein-ligand complexes, suggesting the potential for sustained inhibition. These findings provide valuable insights for the design and development of novel therapeutic interventions against Zika virus infection. Further experimental validation and optimization of the identified compounds are warranted to advance their potential translation into effective antiviral drugs. Communicated by Ramaswamy H. Sarma.