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Abstrakt

Identification of Novel Hepatitis C Virus NS3-4A Protease Inhibitors by Virtual Screening Approach

Anish Kumar, Rashmi Gupta, Kanika Verma, Kshitija Iyer, Shanthi V and K Ramanathan

Hepatitis C Virus (HCV) is a leading cause of cirrhosis and liver cancer worldwide. The replication and viral polyprotein maturation of HCV crucially depends on the cleavage of the polyprotein precursor into 10 viral proteins. The NS3-4A serine protease cleaves the nonstructural region of the polyprotein at four out of five junctions, thus is a promising target for the development of antiviral inhibitors. There are many inhibitors of HCV NS3/4A protease in the clinical trial and improvement indicating significant reduction in the viral infection rate. However, most PIs develop resistance associated variants while treatment and are restricted to one or two HCV genotypes. The second generation PI, MK-5172, is the only exception, which potently inhibits most variants associated with resistance to first generation PIs and is pan-genotypic. In this study, we investigated the potent lead compound(s) based on similarity search using the most potent proved protease inhibitor, MK-5172. We have performed virtual screening techniques using PubChem database available in NCBI to identify lead like molecules. The database has yielded 32 hits for 95% similarity search and the pharmacokinetic analysis (ADME) was performed for screened compounds. This structure based drug design identified three lead compounds that can work better against NS3/4A protease.

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert.