Improved cytochrome P450 3A4 molecular models accurately predict the Phe215 requirement for raloxifene dehydrogenation selectivity.

The use of molecular modeling in conjunction with site-directed mutagenesis has been extensively used to study substrate orientation within cytochrome P450 active sites and to identify potential residues involved in the positioning and catalytic mechanisms of these substrates. However, because docking studies utilize static models to simulate dynamic P450 enzymes, the effectiveness of these studies is strongly dependent on accurate enzyme models. This study employed a cytochrome P450 3A4 (CYP3A4) crystal structure (Protein Data Bank entry 1W0E) to predict the sites of metabolism of the known CYP3A4 substrate raloxifene.