Exploring three-dimensional quantitative structural activity relationship (3D-QSAR) analysis of SCH 66336 (Sarasar) analogues of farnesyltransferase inhibitors.

3D-QSAR analysis of a set of 37 analogues of SCH 66336 (Sarasar) was performed by most widely used computational tool, molecular field analysis (MFA) to investigate the substitutional requirements for the favorable receptor-drug interaction and to derive a predictive model that may be used for the designing of a novel farnesyltransferase inhibitors (FTIs). Regression analysis was carried out using genetic partial least squares (G/PLS) method. A highly predictive and statistically significant model was generated. The predictive ability of the model developed was assessed using a test set of six compounds (r(2)(pred) as high as 0.791). The analyzed MFA model has demonstrated a good fit, having r(2) value of 0.967 and cross-validated coefficient r(2)(cv) value as 0.921.