ABSTRACT:Prediction of the metabolic sites for new compounds, synthesized or virtual, is important in the rational design of compounds with increased resistance to metabolism. The aim of the present investigation was to use rational design together with MetaSite, an in silico tool for predicting metabolic soft spots, to synthesize compounds that retain their pharmacological effects but are metabolically more stable in the presence of cytochrome P450 (P450) enzymes. The model compound for these studies was the phenethyl amide (1) derivative of the nonsteroidal anti-inflammatory drug (NSAID) indomethacin. Unlike the parent NSAID, 1 is a potent and selective cyclooxygenase-2 (COX-2) inhibitor and nonulcerogenic anti-inflammatory agent in the rat. This pharmacological benefit is offset by the finding that 1 is very unstable in rat and human microsomes because of extensive P4503 A4/2D6-mediated metabolism on the phenethyl group, experimental observations that were accurately predicted by MetaSite. The information was used to design analogs with polar (glycinyl) and/or electron-deficient (fluorophenyl, fluoropyridinyl) amide substituents to reduce metabolism in 1. MetaSite correctly predicted the metabolic shift from oxidation on the amide substituent to O-demethylation for these compounds, whereas rat and human microsomal stability studies and pharmacokinetic assessments in the rat confirmed that the design tactics for improving pharmacokinetic attributes of 1 had worked in our favor. In addition, the fluorophenyl and pyridinyl amide derivatives retained the potent and selective COX-2 inhibition demonstrated with 1. Overall, the predictions from MetaSite gave useful information leading to the design of new compounds with improved metabolic properties.In the early drug discovery phase, many compounds have high oxidative metabolic instability mediated by cytochrome P450 (P450) enzymes, which often results in poor oral pharmacokinetics in preclinical species. Whereas high-throughput in vitro microsomal assays that monitor metabolic stability provide a convenient means for "rankordering" large numbers of compounds, information pertaining to identification of "soft spots" for unstable compounds cannot be discerned from such analyses and requires separate metabolite identification studies. Unlike microsomal stability assays, metabolite identification experiments are low-throughput and cannot keep pace with high-speed chemistry efforts. In addition, there are scenarios in which metabolism studies will limit the labile site(s) to a certain region within the molecule. To guide chemists in the right direction, information on the exact metabolic site is often preferred. Therefore, in addition to existing in vitro assays, a value added proposition would be the use of in silico tools to precisely predict regiochemistry of metabolism for compounds (synthesized or only virtual), information that could be used for rational design of pharmacologically active compounds with improved metabolic properties.MetaSite is an in silico tool t...