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Chagas' disease is a parasitic infection widely distributed throughout Latin America, with devastating consequences in terms of human morbidity and mortality. Cruzain, the major cysteine protease from Trypanosoma cruzi, is an attractive target for antitrypanosomal chemotherapy. In the present work, classical two-dimensional quantitative structure-activity relationships (2D QSAR) and hologram QSAR (HQSAR) studies were performed on a training set of 45 thiosemicarbazone and semicarbazone derivatives as inhibitors of T. cruzi cruzain. Significant statistical models (HQSAR, q2 = 0.75 and r2 = 0.96; classical QSAR, q2 = 0.72 and r2 = 0.83) were obtained, indicating their consistency for untested compounds. The models were then used to evaluate an external test set containing 10 compounds which were not included in the training set, and the predicted values were in good agreement with the experimental results (HQSAR, [image omitted] = 0.95; classical QSAR, [image omitted] = 0.91), indicating the existence of complementary between the two ligand-based drug design techniques. [ABSTRACT FROM AUTHOR]

Abstract: Coronary heart disease (CHD) is one of the major causes of human death. The most successful therapeutic approach available is based on the reduction of low density-lipoprotein cholesterol (LDL-C). However, it is believed that the next paradigm in CHD treatment will rely on increased HDL-C levels. One of the most promising strategies for this goal is the inhibition of cholesteryl ester transfer protein (CETP). In the present work, robust classical 2D QSAR (r 2 =0.76, q 2 =0.72) and hologram QSAR (r 2 =0.88, q 2 =0.70) models were developed for a series of 85 CETP inhibitors (N-N-disubstituted trifluoro-3-amino-2-propanol derivatives). These models are complementary in nature and highlight important structural features for the design of novel CETP inhibitors with improved potency. [Copyright &y& Elsevier]

Abstract: Comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis, and hologram quantitative structure–activity relationship (HQSAR) studies were conducted on a series of 52 training set inhibitors of calf spleen purine nucleoside phosphorylase (PNP). Significant cross-validated correlation coefficients (CoMFA, q 2 =0.68; CoMSIA, q 2 =0.66; and HQSAR, q 2 =0.70) were obtained, indicating the potential of the models for untested compounds. The models were then used to predict the inhibitory potency of 16 test set compounds that were not included in the training set, and the predicted values were in good agreement with the experimental results. The final QSAR models along with the information gathered from 3D contour and 2D contribution maps should be useful for the design of novel inhibitors of PNP having improved potency. [Copyright &y& Elsevier]