Design and synthesis of an alpha1a-adrenergic receptor subtype-selective antagonist from BE2254.

An alpha1a-adrenoceptor-selective antagonist has the potential to be a new benign prostatic hyperplasia drug with reduced side-effects. Modification of the non-selective antagonist BE2254 led to the development of a series of tetralin analogs. Evaluation of these compounds in cloned human alpha1-adrenoceptors resulted in the discovery of an analog that showed selectivity toward the human alpha1a-adrenergic receptor subtype.

Synthesis and structure-activity relationship of fluoro analogues of 8-{2-[4-(4-methoxyphenyl)piperazin-1yl]ethyl}-8-azaspiro[4.5]decane-7,9-dione as selective alpha(1d)-adrenergic receptor antagonists.

We have discovered high-affinity antagonists (exemplified by 11 and 12) that are the most selective for alpha(1d)-adrenergic receptors (alpha(1d)-AR) reported to date. In cloned receptor assay systems, 12 displays at least 95-fold selectivity for the alpha(1d)-AR over all other G-protein-coupled receptors tested, and the subtype selectivity of 11 was confirmed in pharmacologically defined isolated tissue preparations.

High-throughput synthesis optimization of sulfonamide NPY Y5 antagonists.

A series of sulfonamide neuropeptide Y Y5 antagonists was optimized by preparation of sets of analogues using high-throughput synthesis and purification techniques. Testing of these compounds for their ability to bind to the human NPY Y5 receptor revealed separate SAR trends for sulfonamide amides versus sulfonamide ureas versus sulfonamide amines. By understanding these SAR trends, potent compounds were identified in all three series.

Discovery of potent and selective small molecule NPY Y5 receptor antagonists.

The discovery of a new class of sulfonamide NPY Y5 receptor antagonists is described. Optimization of this series led to the identification of compounds with high affinity for the hY5 subtype and excellent selectivity over the other NPY receptor subtypes. The SAR for this series was examined and a model for understanding the ligand-receptor interactions was developed.