Computational efforts to identify natural occurring compounds from phyllanthus niruri that target hepatitis B viral infections: DFT, docking and dynamics simulation study

Abstract

Hepatitis B virus (HBV) is an enveloped hepatotropic virus responsible for nucleic acids replication. It causes chronic infection. Depending on the strain, mutations in the core protein of chronic hepatitis B virus (HBV) infections occur. Medicinal plants, the backbone of traditional medicine, are a potential source of lead molecules in drug discovery due to extensive pharmacological studies. In this study, we have screened twenty-nine phytochemicals. The ADME and drug-likeness of these phytochemicals were investigated. After screening, the binding affinity of ten phytochemicals was studied through molecular docking. Simulation studies were carried out for 100 ns to analyze the properties of RMSD, Rg, RMSF, average hydrogen bond number and SASA of hepatitis B virus capsid protein. As per the docking results phyllanthosterol, may be used as a potential inhibitors against HBV. The simulations findings revealed that, in case of mutant protein, the flexibility nature decreases as compared to wildtype protein. Our results may provide useful information for drug design and to lead the identification of novel inhibitor for hepatotropic viral infection.