Comparison of steroid substrates and inhibitors of P-glycoprotein by 3D-QSAR analysis

Abstract

Steroid derivatives show a complex interaction with P-glycoprotein (Pgp). To determine the essential structural requirements of a series of structurally related and functionally diverse steroids for Pgp-mediated transport or inhibition, a three-dimensional quantitative structure activity relationship study was performed by comparative similarity index analysis modeling. Twelve models have been explored to well correlate the physiochemical features with their biological functions with Pgp on basis of substrate and inhibitor datasets, in which the best predictive model for substrate gave cross-validated q 2=0.720, non-cross-validated r 2=0.998, standard error of estimate SEE=0.012, F=257.955, and the best predictive model for inhibitor gave q 2=0.536, r 2=0.950, SEE=1.761 and F=45.800. The predictive ability of all models was validated by a set of compounds that were not included in the training set. The physiochemical similarities and differences of steroids as Pgp substrate and inhibitor, respectively, were analyzed to be helpful in developing new steroid-like compounds.