Thea Mulder-Krieger

2-Amino-6-furan-2-yl-4-substituted nicotinonitriles as A2A adenosine receptor antagonists.

A 2A adenosine receptor antagonists usually have bi- or tricyclic N aromatic systems with varying substitution patterns to achieve desired receptor affinity and selectivity. Using a pharmacophore model designed by overlap of nonxanthine type of previously known A 2A antagonists, we synthesized a new class of compounds having a 2-amino nicotinonitrile core moiety. From our data, we conclude that the presence of at least one furan group rather than phenyl is beneficial for high affinity on the A 2A adenosine receptor. Compounds 39 (LUF6050) and 44 (LUF6080) of the series had K i values of 1.4 and 1.0 nM, respectively, with reasonable selectivity toward the other adenosine receptor subtypes, A 1, A 2B, and A 3. The high affinity of 44 was corroborated in a cAMP second messenger assay, yielding subnanomolar potency for this compound.

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

BACKGROUND AND PURPOSE The adenosine A2A receptor belongs to the superfamily of GPCRs and is a promising therapeutic target. Traditionally, the discovery of novel agents for the A2A 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 A2A receptor agonists and explore a possible relationship with their functional efficacy.

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 A1 receptor (A1R) was chosen for assay validation and optimization. A screen with 35 high-affinity A1R 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.

A Series of 2,4-Disubstituted Quinolines as a New Class of Allosteric Enhancers of the Adenosine A3 Receptor

The adenosine receptor subfamily consists of the adenosine A(1), A(2A), A(2B), and A(3) receptors, which are localized in a variety of tissues throughout the human body. It is, therefore, a challenge to develop receptor specific ligands with improved tissue selectivity. Allosteric modulators could have these therapeutic advantages over orthosteric ligands. In the present study, a series of 2,4-disubstituted quinolines were synthesized on the basis of the structure of LUF6000 (34). Compound 27 (LUF6096) was able to allosterically enhance agonist binding to a similar extent as 34. In addition, this new compound showed low, if any, orthosteric affinity for any of the adenosine receptors. In a functional assay, compound 27 showed improved activity in comparison to 34, as it increased both the intrinsic efficacy and the potency of the reference agonist Cl-IB-MECA at the human adenosine A(3) 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 Parkinsons 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.

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.

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, β1 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.

Substructure-based virtual screening for adenosine A2A receptor ligands.

A virtual ligand‐based screening approach was designed and evaluated for the discovery of new A2A adenosine receptor (AR) ligands. For comparison and evaluation, the procedures from a recently published virtual screening study that used the A2A AR X‐ray crystal structure for the target‐based discovery of new A2A ligands were largely followed. Several screening models were constructed by deriving the distinguishing structural features from selected sets of A2A 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 A2A 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.

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 CPAs 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.

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 [3H]‐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.