Descriptor- and fragment-based QSAR models for a series of schistosoma mansoni purine nucleoside inhibitors

Abstract

The enzyme purine nucleoside phosphorylase from Schistosoma mansoni (SmPNP) is an attractive molecular target for the treatment of major parasitic infectious diseases, with special emphasis on its role in the discovery of new drugs against schistosomiasis, a tropical disease that affects millions of people worldwide. In the present work, we have determined the inhibitory potency and developed descriptor- and fragment-based quantitative structure-activity relationships (QSAR) for a series of 9-deazaguanine analogs as inhibitors of SmPNP. Significant statistical parameters (descriptor-based model: r2 = 0.79, q2 = 0.62, r2pred = 0.52; and fragment-based model: r2 = 0.95, q2 = 0.81, r 2pred = 0.80) were obtained, indicating the potential of the models for untested compounds. The fragment-based model was then used to predict the inhibitory potency of a test set of compounds, and the predicted values are in good agreement with the experimental results. ©2011 Sociedade Brasileira de Química.