Structure-Activity Relationships Based on 3D-QSAR CoMFA/CoMSIA and Design of Aryloxypropanol-Amine Agonists with Selectivity for the Human 3-Adrenergic Receptor and Anti-Obesity and Anti-Diabetic Profiles

Abstract

The wide tissue distribution of the adrenergic 3 receptor makes it a potential target for the treatment of multiple pathologies such as diabetes, obesity, depression, overactive bladder (OAB), and cancer. Currently, there is only one drug on the market, mirabegron, approved for the treatment of OAB. In the present study, we have carried out an extensive structure-activity relationship analysis of a series of 41 aryloxypropanolamine compounds based on three-dimensional quantitative structure-activity relationship (3D-QSAR) techniques. This is the first combined comparative molecular field analysis (CoMFA) and comparative molecular similarity index analysis (CoMSIA) study in a series of selective aryloxypropanolamines displaying anti-diabetes and anti-obesity pharmacological profiles. The best CoMFA and CoMSIA models presented values of r(ncv)(2) = 0.993 and 0.984 and values of r(test)(2) = 0.865 and 0.918, respectively. The results obtained were subjected to extensive external validation (q(2), r(2), r(m)(2), etc.) and a final series of compounds was designed and their biological activity was predicted (best pEC(50) = 8.561).

The wide tissue distribution of the adrenergic 3 receptor makes it a potential target for the treatment of multiple pathologies such as diabetes, obesity, depression, overactive bladder (OAB), and cancer. Currently, there is only one drug on the market, mirabegron, approved for the treatment of OAB. In the present study, we have carried out an extensive structure-activity relationship analysis of a series of 41 aryloxypropanolamine compounds based on three-dimensional quantitative structure-activity relationship (3D-QSAR) techniques. This is the first combined comparative molecular field analysis (CoMFA) and comparative molecular similarity index analysis (CoMSIA) study in a series of selective aryloxypropanolamines displaying anti-diabetes and anti-obesity pharmacological profiles. The best CoMFA and CoMSIA models presented values of r(ncv)(2) = 0.993 and 0.984 and values of r(test)(2) = 0.865 and 0.918, respectively. The results obtained were subjected to extensive external validation (q(2), r(2), r(m)(2), etc.) and a final series of compounds was designed and their biological activity was predicted (best pEC(50) = 8.561).