Agonist activation of the G protein-coupled receptor GPR35 involves transmembrane domain III and is transduced via Gα13 and ß-arrestin-2.

BACKGROUND AND PURPOSE: GPR35 is a poorly characterized G protein-coupled receptor at which kynurenic acid has been suggested to be the endogenous ligand. We wished to test this and develop assays appropriate for the study of this receptor. EXPERIMENTAL APPROACH: Human and rat orthologues of GPR35 were engineered and expressed and assays developed to assess interaction with ß-arrestin-2, activation of Gα13 and agonist-induced internalization. KEY RESULTS: GPR35-ß-arrestin-2 interaction assays confirmed that both the endogenous tryptophan metabolite kynurenic acid and the synthetic ligand zaprinast had agonist action at each orthologue. Zaprinast was substantially more potent than kynurenic acid at each and both agonists displayed substantially greater potency at rat GPR35. Two novel thiazolidinediones also displayed agonism and displayed similar potency at each GPR35 orthologue. The three ligand classes acted orthosterically with respect to each other, suggesting overlapping binding sites and, consistent with this, mutation to alanine of the conserved arginine at position 3.36 or tyrosine 3.32 in transmembrane domain III abolished ß-arrestin-2 recruitment in response to each ligand at each orthologue. CONCLUSIONS AND IMPLICATIONS: These studies indicate that ß-arrestin-2 interaction assays are highly appropriate to explore the pharmacology of GPR35 and that Gα13 activation is an alternative avenue of signal generation from GPR35. Arginine and tyrosine residues in transmembrane domain III are integral to agonist recognition and function of this receptor. The potency of kynurenic acid at human GPR35 is sufficiently low, however, to question whether it is likely to be the true endogenous ligand for this receptor.

Substituted 2H-isoquinolin-1-ones as potent Rho-kinase inhibitors: part 2, optimization for blood pressure reduction in spontaneously hypertensive rats.

Phenylglycine substituted isoquinolones 1 and 2 have previously been described as potent dual ROCK1/ROCK2 inhibitors. Here we describe the further SAR of this series to improve metabolic stability and rat oral exposure. Piperidine analog 20 which demonstrates sustained blood pressure normalization in an SHR blood pressure reduction model was identified through this effort.

SAR studies of non-zinc-chelating MMP-13 inhibitors: improving selectivity and metabolic stability.

SAR studies to improve the selectivity and metabolic stability of a class of recently discovered MMP-13 inhibitors are reported. Improved selectivity was achieved by modifying interactions with the S1' pocket. Metabolic stability was improved through reduction of inhibitor lipophilicity. This translated into lower in vivo clearance for the preferred compound.

Substituted 2H-isoquinolin-1-ones as potent Rho-kinase inhibitors: part 3, aryl substituted pyrrolidines.

The discovery and SAR of a series of beta-aryl substituted pyrrolidine 2H-isoquinolin-1-one inhibitors of Rho-kinase (ROCK) derived from 2 is herein described. SAR studies have shown that aryl groups in the beta-position are optimal for potency. Our efforts focused on improving the ROCK potency of this isoquinolone class of inhibitors which led to the identification of pyrrolidine 32 which demonstrated a 10-fold improvement in aortic ring (AR) potency over 2.

Synthesis of N-alkyl glycine amides as potent inhibitors of leukotriene A4 hydrolase.

The synthesis and biological evaluation of a series of N-alkyl glycine amide analogs as LTA(4)-h inhibitors and the importance of the introduction of a benzoic acid group to the potency and pharmacokinetic parameters of our analogs are described. The lead compound in the series, 4q, has excellent potency and oral bioavailability.

Predictions of CCR1 chemokine receptor structure and BX 471 antagonist binding followed by experimental validation.

A major challenge in the application of structure-based drug design methods to proteins belonging to the superfamily of G protein-coupled receptors (GPCRs) is the paucity of structural information (1). The 19 chemokine receptors, belonging to the Class A family of GPCRs, are important drug targets not only for autoimmune diseases like multiple sclerosis but also for the blockade of human immunodeficiency virus type 1 entry (2). Using the MembStruk computational method (3), we predicted the three-dimensional structure of the human CCR1 receptor. In addition, we predicted the binding site of the small molecule CCR1 antagonist BX 471, which is currently in Phase II clinical trials (4). Based on the predicted antagonist binding site we designed 17 point mutants of CCR1 to validate the predictions. Subsequent competitive ligand binding and chemotaxis experiments with these mutants gave an excellent correlation to these predictions. In particular, we find that Tyr-113 and Tyr-114 on transmembrane domain 3 and Ile-259 on transmembrane 6 contribute significantly to the binding of BX 471. Finally, we used the predicted and validated structure of CCR1 in a virtual screening validation of the Maybridge data base, seeded with selective CCR1 antagonists. The screen identified 63% of CCR1 antagonists in the top 5% of the hits. Our results indicate that rational drug design for GPCR targets is a feasible approach.

I want a new drug: G-protein-coupled receptors in drug development.

Huey Lewis and the News summed it up nicely in their 1980s hit record: 'I want a new drug, one that won't make me sick, one that won't make me crash my car, or make me feel three feet thick'. The song could be an anthem for drug discovery in the pharmaceutical industry. We all want new and better drugs with fewer side effects, which are effective for combating the major diseases of our time: cancer, heart disease, obesity and autoimmune diseases. How do we get these new drugs? There are currently some new ideas in drug discovery, centered on that staple diet of the pharmaceutical industry, the G-protein-coupled receptor (GPCR) superfamily. In silico methods, employing receptor-based modeling, offer a more rational approach in the design of drugs targeting GPCRs. These approaches can be used to understand receptor selectivity and species specificity of drugs that interact with GPCRs. In addition, there are various novel approaches, such as the design and potential utility of drugs that target more than one GPCR ('dual specificity' drugs).