This work presents a chemometric classification for a set of phosphodiesterase 5 inhibitors, based on a pattern recognition method widely used in quantitative structure-activity (QSAR) studies, hierarchical cluster analysis (HCA) and principal component analysis (PCA), aiming to access the most relevant structural and physicochemical variables related to phosphodiesterase 5 inhibition and to quantify the similarity of the structures within the set of inhibitors. Our model is capable of classifying a test set of 26 known phosphodiesterase 5 inhibitors in terms of similarity, the results being consistent with published experimental data.
View Article and Find Full Text PDFThe synthesis of several new anti-HIV-1 compounds is described. The new compounds contain a C(2) symmetry axis and a dihidroxyethylene moiety based on the D-tartaric acid back bone. The synthesis of these compounds was achieved in 36-69% overall yields from D-tartaric acid.
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