Application of 4D-QSAR studies to a series of benzothiophene analogs

Abstract

Four-dimensional quantitative structure-activity relationship (4D-QSAR) analysis was applied to a series of 52 benzothiophene analogs synthesized by Hiroshi Yamashita et al. (2011, United Sates Patent no. US8,349,840) and evaluated as dopamine D2 receptor inhibitors. The QSAR equations, generated by a combined scheme of genetic algorithms (GA) and partial least squares (PLS) regression, were evaluated by leave-one-out cross-validation, using a training and test set of 42 and ten compounds, respectively. Four different alignments were tested, and model 2, generated from Eq. 10, showed the best statistical results; it was therefore chosen to represent the data set. This study allowed a quantitative prediction of compounds potency and supported the design of the new benzothiophene.