Understanding of the drug resistance mechanism of hepatitis C virus NS3/4A to paritaprevir due to D168N/Y mutations: A molecular dynamics simulation perspective

Hepatitis C virus (HCV) NS3/4A protease is an attractive target for the development of antiviral therapy. However, the evolution of antiviral drug resistance is a major problem for treatment of HCV infected patients. Understanding of drug-resistance mechanisms at molecular level is therefore very important for the guidance of further design of antiviral drugs with high efficiency and specificity. Paritaprevir is a potent inhibitor against HCV NS3/4A protease genotype 1a. Unfortunately, this compound is highly susceptible to the substitution at D168 in the protease. In this work, molecular dynamics simulations of paritaprevir complexed with wild-type (WT) and two mutated strains (D168 N and D168Y) were carried out. Due to such mutations, the inhibitor-protein hydrogen bonding between them was weakened and the salt-bridge network among residues R123, R155 and D168 responsible for inhibitor binding was disrupted. Moreover, the per-residue free energy decomposition suggested that the main contributions from key residues such as Q80, V132, K136, G137 and R155 were lost in the D168 N/Y mutations. These lead to a lower binding affinity of paritaprevir for D168 N/Y variants of the HCV NS3/4A protease, consistent with the experimental data. This detailed information could be useful for further design of high potency anti-HCV NS3/4A inhibitors.     

Molecular docking and dynamic simulation of approved drugs targeting against spike protein (6VXX) of 2019-nCoV (novel coronavirus)

The 2019-nCoV has triggered a global public health emergency due to its rapid spread, resulting in a pandemic situation. Because of its ability to bind with the host cell receptor ACE-2, the spike protein of the 2019-nCoV is a critical factor in viral infection. The current study aims to investigate the molecular-docking of the spike protein (6VXX) using PyRx for FDA-approved drugs available for the treatment of SARS-1 and MERS, with the hypothesis that these drugs could be suggested for the treatment of 2019-nCoV or not. A phylogenetic analysis of 2019-nCoV in relation to SARS-1 and MERS confirmed the validation. The positive result urged the Multiple Sequence Alignment analysis of the top five affected countries, with China serving as a control, using WHO available reference data to determine the rate of mutant variation. The docking results revealed that the top ten drugs with the highest binding affinity rate are also used for Hepatitis-C virus treatment, and the Molecular Dynamic Simulation was carried out for the drug Paritaprevir, which had the highest binding affinity rate, using Gromacs. The results indicated that the drug Paritaprevir could be used as a potential target against the 2019-nCoV Spike protein.