A New Class of Fluorinated A2A Adenosine Receptor Agonist with Application to Last-Step Enzymatic [18 F]Fluorination for PET Imaging.

The A2A adenosine receptor belongs to a family of G-coupled protein receptors that have been subjected to extensive investigation over the last few decades. Due to their prominent role in the biological functions of the heart, lungs, CNS and brain, they have become a target for the treatment of illnesses ranging from cancer immunotherapy to Parkinson's disease. The imaging of such receptors by using positron emission tomography (PET) has also been of interest, potentially providing a valuable tool for analysing and diagnosing various myocardial and neurodegenerative disorders, as well as offering support to drug discovery trials. Reported herein are the design, synthesis and evaluation of two new 5'-fluorodeoxy-adenosine (FDA)-based receptor agonists (FDA-PP1 and FDA-PP2), each substituted at the C-2 position with a terminally functionalised ethynyl unit. The structures enable a synthesis of 18 F-labelled analogues by direct, last-step radiosynthesis from chlorinated precursors using the fluorinase enzyme (5'-fluoro-5'-deoxyadenosine synthase), which catalyses a transhalogenation reaction. This delivers a new class of A2A adenosine receptor agonist that can be directly radiolabelled for exploration in PET studies.

Multi-objective evolutionary design of adenosine receptor ligands.

A novel multiobjective evolutionary algorithm (MOEA) for de novo design was developed and applied to the discovery of new adenosine receptor antagonists. This method consists of several iterative cycles of structure generation, evaluation, and selection. We applied an evolutionary algorithm (the so-called Molecule Commander) to generate candidate A1 adenosine receptor antagonists, which were evaluated against multiple criteria and objectives consisting of high (predicted) affinity and selectivity for the receptor, together with good ADMET properties. A pharmacophore model for the human A1 adenosine receptor (hA1AR) was created to serve as an objective function for evolution. In addition, three support vector machine models based on molecular fingerprints were developed for the other adenosine receptor subtypes (hA2A, hA2B, and hA3) and applied as negative objective functions, to aim for selectivity. Structures with a higher evolutionary fitness with respect to ADMET and pharmacophore matching scores were selected as input for the next generation and thus developed toward overall fitter ("better") compounds. We finally obtained a collection of 3946 unique compounds from which we derived chemical scaffolds. As a proof-of-principle, six of these templates were selected for actual synthesis and subsequently tested for activity toward all adenosine receptors subtypes. Interestingly, scaffolds 2 and 3 displayed low micromolar affinity for many of the adenosine receptor subtypes. To further investigate our evolutionary design method, we performed systematic modifications on scaffold 3. These modifications were guided by the substitution patterns as observed in the set of generated compounds that contained scaffold 3. We found that an increased affinity with appreciable selectivity for hA1AR over the other adenosine receptor subtypes was achieved through substitution of the scaffold; compound 3a had a Ki value of 280 nM with approximately 10-fold selectivity with respect to hA2AR, while 3g had a 1.6 µM affinity for hA1AR with negligible affinity for the hA2A, hA2B, and hA3 receptor subtypes.

Putative role of the adenosine A(3) receptor in the antiproliferative action of N (6)-(2-isopentenyl)adenosine.

We tested a panel of naturally occurring nucleosides for their affinity towards adenosine receptors. Both N (6)-(2-isopentenyl)adenosine (IPA) and racemic zeatin riboside were shown to be selective human adenosine A(3) receptor (hA(3)R) ligands with affinities in the high nanomolar range (K (i) values of 159 and 649 nM, respectively). These values were comparable to the observed K (i) value of adenosine on hA(3)R, which was 847 nM in the same radioligand binding assay. IPA also bound with micromolar affinity to the rat A(3)R. In a functional assay in Chinese hamster ovary cells transfected with hA(3)R, IPA and zeatin riboside inhibited forskolin-induced cAMP formation at micromolar potencies. The effect of IPA could be blocked by the A(3)R antagonist VUF5574. Both IPA and reference A(3)R agonist 2-chloro-N (6)-(3-iodobenzyl)adenosine-5'-N-methylcarboxamide (Cl-IB-MECA) have known antitumor effects. We demonstrated strong and highly similar antiproliferative effects of IPA and Cl-IB-MECA on human and rat tumor cell lines LNCaP and N1S1. Importantly, the antiproliferative effect of low concentrations of IPA on LNCaP cells could be fully blocked by the selective A(3)R antagonist MRS1523. At higher concentrations, IPA appeared to inhibit cell growth by an A(3)R-independent mechanism, as was previously reported for other A(3)R agonists. We used HPLC to investigate the presence of endogenous IPA in rat muscle tissue, but we could not detect the compound. In conclusion, the antiproliferative effects of the naturally occurring nucleoside IPA are at least in part mediated by the A(3)R.

A new generation of adenosine receptor antagonists: from di- to trisubstituted aminopyrimidines.

New adenosine receptor ligands were designed as hybrid structures between previously synthesized substituted dicyanopyridines and aminopyrimidines, yielding two series of cyano-substituted diphenylaminopyrimidines. We were interested in assessing the effect of this substitution pattern on both affinity and intrinsic activity, as the dicyanopyridines comprised both agonists and inverse agonists, whereas the original aminopyrimidines were exclusively inverse agonists. It was found that the new compounds were generally selective for adenosine A(1) receptors, although affinity for the adenosine A(2A) receptor was also noticed for some of the compounds. In a cAMP second messenger assay the compounds behaved as inverse agonists rather than agonists. Among the more A(1) receptor-selective compounds were 5 (LUF6048), 27 (LUF6040) and 53 (LUF6056) with K(i) values of 8.1, 1.2 and 5.7nM, respectively.

2,6,8-trisubstituted 1-deazapurines as adenosine receptor antagonists.

In this study we developed a refined pharmacophore model for antagonists of the human adenosine A1 receptor, based on features of known pyrimidine and purine derivatives. The adoption of these updated criteria assisted us in synthesizing a series of 1-deazapurines with consistently high affinity as inverse agonists for the adenosine A1 receptor. These 1-deazapurines (otherwise known as 3H-imidazo[4,5-b]pyridines) were substituted at their 2- and 6-positions, yielding a series with five of the derivatives displaying Ki values in the subnanomolar range. The most potent of these, compound 10 (LUF 5978), displayed an affinity of 0.55 nM at the human adenosine A1 receptor with >300-fold and 45-fold selectivity toward A2A and A3 receptors, respectively. Compound 14 (LUF 5981, Ki = 0.90 nM) appeared to have the best overall selectivity with respect to adenosine A2A (>200-fold) and A3 (700-fold) receptors.

Synthesis and evaluation of N-substituted 2-amino-4,5-diarylpyrimidines as selective adenosine A1 receptor antagonists.

We report the synthesis and biological evaluation of new 2-amino-4,5-diarylpyrimidines as selective antagonists at the adenosine A1 receptor. The scaffold they are based upon is a deaza variation of a previously reported collection of 3-amino-5,6-diaryl-1,2,4-triazines, members of which had a subnanomolar affinity but limited selectivity over the A2A subtype. Initially, similar structure-affinity relationships at the 5-aryl ring were established, and then emphasis was put on increasing selectivity at the hA1AR by introducing substituents on the N2-position, all the while maintaining a nanomolar affinity. Compound 3z, bearing a trans 4-hydroxycyclohexyl substituent, was identified as a potent (Ki(hA1AR) = 7.7 nM) and selective (Ki(hA2AAR) = 1389 nM) antagonist at the human adenosine A1 receptor. Computational docking was effected at the A1 and A2A subtypes, rationalizing the effect of the 4-hydroxycyclohexyl substituent on selectivity, in relation with the nature of the substituent on the 5-position of the pyrimidine.

Phenotypic screening of cannabinoid receptor 2 ligands shows different sensitivity to genotype.

The Cannabinoid Receptor 2 (CB2R) is a G protein-coupled receptor (GPCR) investigated intensively as therapeutic target, however no drug has reached the market yet. We investigated personal differences in CB2R drug responses using a label-free whole-cell assay (xCELLigence) combined with cell lines (Lymphoblastoid Cell Lines) from individuals with varying CB2R genotypes. Responses to agonists, partial agonists and antagonists of various chemical classes were characterized. Endogenous cannabinoids such as 2-AG induced cellular effects vastly different from all synthetic cannabinoids, especially in their time-profile. Secondly, the Q63R polymorphism affected CB2R responses in general. Agonists and especially partial agonists showed higher efficacy in a Q63R minor homozygote versus other genotypes. Non-classical cannabinoid CP55940 showed the most pronounced personal effects with highly reduced potency and efficacy in this genotype. Contrarily, aminoalkylindole compounds showed less individual differences. In conclusion, a label-free whole-cell assay combined with personal cell lines is a promising vehicle to investigate personal differences in drug response originating from genetic variation in GPCRs. Such phenotypic screening allows early identification of compounds prone to personal differences ('precision medicine') or more suited as drugs for the general population.

Discovery and Kinetic Profiling of 7-Aryl-1,2,4-triazolo[4,3-a]pyridines: Positive Allosteric Modulators of the Metabotropic Glutamate Receptor 2.

We report the synthesis and biological evaluation of a series of 7-aryl-1,2,4-triazolo[4,3-a]pyridines with mGlu2 positive allosteric modulator (PAM) activity and affinity. Besides traditional in vitro parameters of potency and affinity, kinetic parameters kon, koff and residence time (RT) were determined. The PAMs showed various kinetic profiles; kon values ranged over 2 orders of magnitude, whereas RT values were within a 10-fold range. Association rate constant kon was linearly correlated to affinity. Evaluation of a short, medium, and long RT compound in a label-free assay indicated a correlation between RT and functional effect. The effects of long RT compound 9 on sleep-wake states indicated long RT was translated into sustained inhibition of rapid eye movement (REM) in vivo. These results show that affinity-only driven selection would have resulted in mGlu2 PAMs with high values for kon but not necessarily optimized RT, which is key to predicting optimal efficacy in vivo.

2,6-disubstituted and 2,6,8-trisubstituted purines as adenosine receptor antagonists.

Purines have long been exploited as adenosine receptor antagonists. The substitution pattern about the purine ring has been well investigated, and certain criteria have become almost a prerequisite for good affinity at the adenosine A(1) receptor. The adaptation of the pharmacophore and the initial series of pyrimidines developed in an earlier publication resulted in a series of purines with an entirely new substitution pattern. One compound in particular, 8-cyclopentyl-2,6-diphenylpurine (31, LUF 5962) has been shown to be very promising with an affinity of 0.29 nM at the human adenosine A(1) receptor.

Allosteric modulation, thermodynamics and binding to wild-type and mutant (T277A) adenosine A1 receptors of LUF5831, a novel nonadenosine-like agonist.

The interaction of a new nonribose ligand (LUF5831) with the human adenosine A1 receptor was investigated in the present study. Radioligand binding experiments were performed in the absence and presence of diverse allosteric modulators on both wild-type (wt) and mutant (T277A) adenosine A1 receptors. Thermodynamic data were obtained by performing these assays at different temperatures. In addition, cyclic adenosine monophosphate (cAMP) assays were performed. The presence of allosteric modulators had diverse effects on the affinity of LUF5831, N6-cyclopentyladenosine (CPA), a full agonist, and 8-cyclopentyl-1,3-dipropylxanthine (DPCPX), an inverse agonist/antagonist, for the adenosine A1 receptor. PD81,723, for example, increased the affinity of CPA, while the affinity of LUF5831 was decreased. However, the affinity of DPCPX was decreased even more. In addition, LUF5831 was shown to have an affinity for the mutant (T277A) adenosine A1 receptor (Ki=122+/-22 nM), whereas CPA's affinity was negligible. The results of temperature-dependent binding assays showed that the binding of LUF5831 was entropy driven, in between the behaviour of CPA binding to the high- and low-affinity states of the receptor, respectively. The inhibition of the forskolin-induced production of cAMP through activation of the wt adenosine A1 receptor showed that LUF5831 had a submaximal effect (37+/-1%) in comparison to CPA (66+/-5%). On the mutant receptor, however, neither CPA nor LUF5831 inhibited cAMP production. This study indicates that the nonribose ligand, LUF5831, is a partial agonist for the adenosine A1 receptor.

Molecular mechanism of positive allosteric modulation of the metabotropic glutamate receptor 2 by JNJ-46281222.

BACKGROUND AND PURPOSE: Allosteric modulation of the mGlu2 receptor is a potential strategy for treatment of various neurological and psychiatric disorders. Here, we describe the in vitro characterization of the mGlu2 positive allosteric modulator (PAM) JNJ-46281222 and its radiolabelled counterpart [(3) H]-JNJ-46281222. Using this novel tool, we also describe the allosteric effect of orthosteric glutamate binding and the presence of a bound G protein on PAM binding and use computational approaches to further investigate the binding mode. EXPERIMENTAL APPROACH: We have used radioligand binding studies, functional assays, site-directed mutagenesis, homology modelling and molecular dynamics to study the binding of JNJ-46281222. KEY RESULTS: JNJ-46281222 is an mGlu2 -selective, highly potent PAM with nanomolar affinity (KD = 1.7 nM). Binding of [(3) H]-JNJ-46281222 was increased by the presence of glutamate and greatly reduced by the presence of GTP, indicating the preference for a G protein bound state of the receptor for PAM binding. Its allosteric binding site was visualized and analysed by a computational docking and molecular dynamics study. The simulations revealed amino acid movements in regions expected to be important for activation. The binding mode was supported by [(3) H]-JNJ-46281222 binding experiments on mutant receptors. CONCLUSION AND IMPLICATIONS: Our results obtained with JNJ-46281222 in unlabelled and tritiated form further contribute to our understanding of mGlu2 allosteric modulation. The computational simulations and mutagenesis provide a plausible binding mode with indications of how the ligand permits allosteric activation. This study is therefore of interest for mGlu2 and class C receptor drug discovery.

Predicting Binding Affinities for GPCR Ligands Using Free-Energy Perturbation.

The rapid growth of structural information for G-protein-coupled receptors (GPCRs) has led to a greater understanding of their structure, function, selectivity, and ligand binding. Although novel ligands have been identified using methods such as virtual screening, computationally driven lead optimization has been possible only in isolated cases because of challenges associated with predicting binding free energies for related compounds. Here, we provide a systematic characterization of the performance of free-energy perturbation (FEP) calculations to predict relative binding free energies of congeneric ligands binding to GPCR targets using a consistent protocol and no adjustable parameters. Using the FEP+ package, first we validated the protocol, which includes a full lipid bilayer and explicit solvent, by predicting the binding affinity for a total of 45 different ligands across four different GPCRs (adenosine A2AAR, ß1 adrenergic, CXCR4 chemokine, and δ opioid receptors). Comparison with experimental binding affinity measurements revealed a highly predictive ranking correlation (average spearman ρ = 0.55) and low root-mean-square error (0.80 kcal/mol). Next, we applied FEP+ in a prospective project, where we predicted the affinity of novel, potent adenosine A2A receptor (A2AR) antagonists. Four novel compounds were synthesized and tested in a radioligand displacement assay, yielding affinity values in the nanomolar range. The affinity of two out of the four novel ligands (plus three previously reported compounds) was correctly predicted (within 1 kcal/mol), including one compound with approximately a tenfold increase in affinity compared to the starting compound. Detailed analyses of the simulations underlying the predictions provided insights into the structural basis for the two cases where the affinity was overpredicted. Taken together, these results establish a protocol for systematically applying FEP+ to GPCRs and provide guidelines for identifying potent molecules in drug discovery lead optimization projects.

A series of ligands displaying a remarkable agonistic-antagonistic profile at the adenosine A1 receptor.

Adenosine receptor agonists are usually variations of the natural ligand, adenosine. The ribose moiety in the ligand has previously been shown to be of great importance for the agonistic effects of the compound. In this paper, we present a series of nonadenosine ligands selective for the adenosine A(1) receptor with an extraordinary pharmacological profile. 2-Amino-4-benzo[1,3]dioxol-5-yl-6-(2-hydroxyethylsulfanyl)pyridine-3,5-dicarbonitrile (70, LUF 5853) shows full agonistic behavior comparable with the reference compound CPA, while also displaying comparable receptor binding affinity (K(i) = 11 nM). In contrast, compound 58 (2-amino-4-(3-trifluoromethylphenyl)-6-(2-hydroxyethylsulfanyl)pyridine-3,5-dicarbonitrile, LUF 5948) has a binding affinity of 14 nM and acts as an inverse agonist. Also present within this same series are compounds that show neutral antagonism of the adenosine A(1) receptor, for example compound 65 (2-amino-4-(4-difluoromethoxyphenyl)-6-(2-hydroxyethylsulfanyl)pyridine-3,5-dicarbonitrile, LUF 5826).

Structure-kinetics relationships of Capadenoson derivatives as adenosine A1 receptor agonists.

We report the synthesis and biological evaluation of new derivatives of Capadenoson, a former drug candidate that was previously advanced to phase IIa clinical trials. 19 of the 20 ligands show an affinity below 100 nM at the human adenosine A1 receptor (hA1AR) and display a wide range of residence times at this target (from approx. 5 min (compound 10) up to 132 min (compound 5)). Structure-affinity and structure-kinetics relationships were established, and computational studies of a homology model of the hA1AR revealed crucial interactions for both the affinity and dissociation kinetics of this family of ligands. These results were also combined with global metrics (Ligand Efficiency, cLogP), showing the importance of binding kinetics as an additional way to better select a drug candidate amongst seemingly similar leads.

New, non-adenosine, high-potency agonists for the human adenosine A2B receptor with an improved selectivity profile compared to the reference agonist N-ethylcarboxamidoadenosine.

The adenosine A(2B) receptor is the least well characterized of the four known adenosine receptor subtypes because of the absence of potent, selective agonists. Here, we present five non-adenosine agonists. Among them, 2-amino-4-(4-hydroxyphenyl)-6-(1H-imidazol-2-ylmethylsulfanyl)pyridine-3,5-dicarbonitrile, 17, LUF5834, is a high-efficacy partial agonist with EC(50) = 12 nM and 45-fold selectivity over the adenosine A(3) receptor but lacking selectivity versus the A(1) and A(2A) subtypes. Compound 18, LUF5835, the 3-hydroxyphenyl analogue, is a full agonist with EC(50) = 10 nM.

2,4,6-trisubstituted pyrimidines as a new class of selective adenosine A1 receptor antagonists.

Adenosine receptor antagonists usually possess a bi- or tricyclic heteroaromatic structure at their core with varying substitution patterns to achieve selectivity and/or greater affinity. Taking into account molecular modeling results from a series of potent adenosine A1 receptor antagonists, a pharmacophore was derived from which we show that a monocyclic core can be equally effective. To achieve a compound that may act at the CNS we propose imposing a restriction related to its polar surface area (PSA). In consequence, we have synthesized two novel series of pyrimidines, possessing good potency at the adenosine A1 receptor and desirable PSA values. In particular, compound 30 (LUF 5735) displays excellent A1 affinity (Ki = 4 nM) and selectivity (< or =50% displacement of 1 muM concentrations of the radioligand at the other three adenosine receptors) and has a PSA value of 53 A2.

Dual-point competition association assay: a fast and high-throughput kinetic screening method for assessing ligand-receptor binding kinetics.

The concept of ligand-receptor binding kinetics is emerging as an important parameter in the early phase of drug discovery. Since the currently used kinetic assays are laborious and low throughput, we developed a method that enables fast and large format screening. It is a so-called dual-point competition association assay, which measures radioligand binding at two different time points in the absence or presence of unlabeled competitors. Specifically, this assay yields the kinetic rate index (KRI), which is a measure for the binding kinetics of the unlabeled ligands screened. As a prototypical drug target, the adenosine A(1) receptor (A(1)R) was chosen for assay validation and optimization. A screen with 35 high-affinity A(1)R antagonists yielded seven compounds with a KRI value above 1.0, which indicated a relatively slow dissociation from the target. All other compounds had a KRI value below or equal to 1.0, predicting a relatively fast dissociation rate. Several compounds were selected for follow-up kinetic quantifications in classical kinetic assays and were shown to have kinetic rates that corresponded to their KRI values. The dual-point assay and KRI value may have general applicability at other G-protein-coupled receptors, as well as at drug targets from other protein families.

Functional efficacy of adenosine A2A receptor agonists is positively correlated to their receptor residence time.

BACKGROUND AND PURPOSE The adenosine A(2A) receptor belongs to the superfamily of GPCRs and is a promising therapeutic target. Traditionally, the discovery of novel agents for the A(2A) receptor has been guided by their affinity for the receptor. This parameter is determined under equilibrium conditions, largely ignoring the kinetic aspects of the ligand-receptor interaction. The aim of this study was to assess the binding kinetics of A(2A) receptor agonists and explore a possible relationship with their functional efficacy. EXPERIMENTAL APPROACH We set up, validated and optimized a kinetic radioligand binding assay (a so-called competition association assay) at the A(2A) receptor from which the binding kinetics of unlabelled ligands were determined. Subsequently, functional efficacies of A(2A) receptor agonists were determined in two different assays: a novel label-free impedance-based assay and a more traditional cAMP determination. KEY RESULTS A simplified competition association assay yielded an accurate determination of the association and dissociation rates of unlabelled A(2A) receptor ligands at their receptor. A correlation was observed between the receptor residence time of A(2A) receptor agonists and their intrinsic efficacies in both functional assays. The affinity of A(2A) receptor agonists was not correlated to their functional efficacy. CONCLUSIONS AND IMPLICATIONS This study indicates that the molecular basis of different agonist efficacies at the A(2A) receptor lies within their different residence times at this receptor.

Identifying novel adenosine receptor ligands by simultaneous proteochemometric modeling of rat and human bioactivity data.

The four subtypes of adenosine receptors form relevant drug targets in the treatment of, e.g., diabetes and Parkinson's disease. In the present study, we aimed at finding novel small molecule ligands for these receptors using virtual screening approaches based on proteochemometric (PCM) modeling. We combined bioactivity data from all human and rat receptors in order to widen available chemical space. After training and validating a proteochemometric model on this combined data set (Q(2) of 0.73, RMSE of 0.61), we virtually screened a vendor database of 100910 compounds. Of 54 compounds purchased, six novel high affinity adenosine receptor ligands were confirmed experimentally, one of which displayed an affinity of 7 nM on the human adenosine A(1) receptor. We conclude that the combination of rat and human data performs better than human data only. Furthermore, we conclude that proteochemometric modeling is an efficient method to quickly screen for novel bioactive compounds.

Substructure-based virtual screening for adenosine A2A receptor ligands.

A virtual ligand-based screening approach was designed and evaluated for the discovery of new A(2A) adenosine receptor (AR) ligands. For comparison and evaluation, the procedures from a recently published virtual screening study that used the A(2A) AR X-ray crystal structure for the target-based discovery of new A(2A) ligands were largely followed. Several screening models were constructed by deriving the distinguishing structural features from selected sets of A(2A) AR antagonists, so-called frequent substructure mining. The best model in statistical terms was subsequently applied to large-scale virtual screens of a commercial vendor library. This resulted in the selection of 36 candidates for acquisition and testing. Of the selected candidates, eight compounds significantly inhibited radioligand binding at A(2A) AR (>30%) at 10 µM, corresponding to a "hit rate" of 22%. This hit rate is quite similar to that of the referenced target-based virtual screening study, while both approaches yield new, non-overlapping sets of ligands.