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Structure-based Virtual Screening, Synthesis and SAR of Novel Inhibitors of Hepatitis C Virus NS5B Polymerase

Overview
Journal Bioorg Med Chem
Specialties Biochemistry
Chemistry
Date 2010 Jul 15
PMID 20627595
Citations 18
Authors
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Abstract

Hepatitis C virus (HCV) NS5B polymerase is a key target for the development of therapeutic agents aimed at the treatment of HCV infections. Here we report on the identification of novel allosteric inhibitors of HCV NS5B through a combination of structure-based virtual screening, synthesis and structure-activity relationship (SAR) optimization approach. Virtual screening of 260,000 compounds from the ChemBridge database against the tetracyclic indole inhibitor binding pocket of NS5B (allosteric pocket-1, AP-1), sequentially down-sized the library by 4 orders of magnitude to yield 23 candidates. In vitro evaluation of the NS5B inhibitory activity of the in-silico selected compounds resulted in 17% hit rate, identifying two novel chemotypes. Of these, compound 3, bearing the rhodanine scaffold, proved amenable for productive SAR exploration and synthetic modification. As a result, 25 derivatives that exhibited IC₅₀ values ranging from 7.7 to 68.0 μM were developed. Docking analysis of lead compound 28 within the tetracyclic indole- and benzylidene-binding allosteric pockets (AP-1 and AP-3, respectively) of NS5B revealed topological similarities between these two pockets. Compound 28, a novel rhodanine analog with NS5B inhibitory potency in the low micromolar level range may be a promising lead for future development of more potent NS5B inhibitors.

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References
1.
Love R, Parge H, Yu X, Hickey M, Diehl W, Gao J . Crystallographic identification of a noncompetitive inhibitor binding site on the hepatitis C virus NS5B RNA polymerase enzyme. J Virol. 2003; 77(13):7575-81. PMC: 164784. DOI: 10.1128/jvi.77.13.7575-7581.2003. View

2.
Pfefferkorn J, Greene M, Nugent R, Gross R, Mitchell M, Finzel B . Inhibitors of HCV NS5B polymerase. Part 1: Evaluation of the southern region of (2Z)-2-(benzoylamino)-3-(5-phenyl-2-furyl)acrylic acid. Bioorg Med Chem Lett. 2005; 15(10):2481-6. DOI: 10.1016/j.bmcl.2005.03.066. View

3.
Di Bisceglie A, ORDER S, Klein J, WAGGONER J, Sjogren M, Kuo G . The role of chronic viral hepatitis in hepatocellular carcinoma in the United States. Am J Gastroenterol. 1991; 86(3):335-8. View

4.
Soriano V, Peters M, Zeuzem S . New therapies for hepatitis C virus infection. Clin Infect Dis. 2009; 48(3):313-20. DOI: 10.1086/595848. View

5.
Bartenschlager R, Mous J, Jacobsen H . Kinetic and structural analyses of hepatitis C virus polyprotein processing. J Virol. 1994; 68(8):5045-55. PMC: 236447. DOI: 10.1128/JVI.68.8.5045-5055.1994. View