A molecular modeling strategy using aryl diketo acid (ADK) derivatives recently reported in the literature as hepatitis C virus (HCV) polymerase inhibitors was designed. A 3D chemical-feature-based pharmacophore model was developed using Catalyst software, which produced 10 pharmacophore hypotheses. The top-ranked one (Hypo 1), characterized by a high correlation coefficient (r = 0.965), consisted of two hydrogen bond acceptors, one negative ionizable moiety, and two hydrophobic aromatics. This model was used to predict the anti-RNA-dependent RNA polymerase (anti-RdRp) activity of 6-(1-arylmethylpyrrol-2-yl)-1,4-dioxo-5-hexenoic acids and other ADK derivatives previously synthesized in our laboratories as HIV-1 integrase inhibitors. Furthermore, the experimental IC50 values of 9 compounds, tested in vitro against recombinant HCV polymerase, were compared with the corresponding values predicted using Hypo1. A good agreement between experimental and simulated data was obtained. The results demonstrate that the hypothesis derived in this study can be considered to be a useful tool in designing new leads based on ADK scaffolds as HCV RdRp inhibitors.
Simple but highly effective three-dimensional chemical-feature-based pharmacophore model for diketo acid derivatives as hepatitis C virus RNA-dependent RNA polymerase inhibitors / DI SANTO, Roberto; Maurizio, Fermeglia; Marco, Ferrone; Maria Silvia, Paneni; Costi, Roberta; Artico, Marino; Alessandra, Roux; Mirko, Gabriele; Keith D., Tardif; Aleem, Siddiqui; Sabrina, Pricl. - In: JOURNAL OF MEDICINAL CHEMISTRY. - ISSN 0022-2623. - 48:20(2005), pp. 6304-6314. [10.1021/jm0504454]
Simple but highly effective three-dimensional chemical-feature-based pharmacophore model for diketo acid derivatives as hepatitis C virus RNA-dependent RNA polymerase inhibitors
DI SANTO, Roberto;COSTI, Roberta;ARTICO, Marino;
2005
Abstract
A molecular modeling strategy using aryl diketo acid (ADK) derivatives recently reported in the literature as hepatitis C virus (HCV) polymerase inhibitors was designed. A 3D chemical-feature-based pharmacophore model was developed using Catalyst software, which produced 10 pharmacophore hypotheses. The top-ranked one (Hypo 1), characterized by a high correlation coefficient (r = 0.965), consisted of two hydrogen bond acceptors, one negative ionizable moiety, and two hydrophobic aromatics. This model was used to predict the anti-RNA-dependent RNA polymerase (anti-RdRp) activity of 6-(1-arylmethylpyrrol-2-yl)-1,4-dioxo-5-hexenoic acids and other ADK derivatives previously synthesized in our laboratories as HIV-1 integrase inhibitors. Furthermore, the experimental IC50 values of 9 compounds, tested in vitro against recombinant HCV polymerase, were compared with the corresponding values predicted using Hypo1. A good agreement between experimental and simulated data was obtained. The results demonstrate that the hypothesis derived in this study can be considered to be a useful tool in designing new leads based on ADK scaffolds as HCV RdRp inhibitors.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.