In silico design and pharmacokinetics investigation of some novel hepatitis C virus NS5B inhibitors: pharmacoinformatics approach

Abstract

Hepatitis C virus (HCV) is a contagious disease that damages the liver over time, eventually leading to cirrhosis and death. Chronic HCV infection is regarded as a serious health problem worldwide, impacting up to 3% of the populace and killing over 300,000 people annually. Quick reproduction driven by non-structural protein 5B (NS5B), which is a possible target spot for the development of anti-HCV vaccines, causes genomic diversity. Sofosbuvir, a new oral NS5B inhibitor, was recently licensed by the US Food and Drug Administration for the cure of HCV. Unfortunately, it has received a lot of attention due to its financial concerns and adverse effects. As a result, there is a pressing need to explore alternative HCV treatments that are both cost-effective and free of adverse effects. In this study, we used a Pharmacoinformatics-based strategy to identify and design bioactive molecules that are anti-HCV NS5B. The simulation outcomes are compared to Sofosbuvir simulation outcomes.