Publications by authors named "Sam Hoare"

Neurons integrate inputs over different time and space scales. Fast excitatory synapses at boutons (ms and μm), and slow modulation over entire dendritic arbors (seconds and mm) are all ultimately combined to produce behavior. Understanding the timing of signaling events mediated by G-protein-coupled receptors is necessary to elucidate the mechanism of action of therapeutics targeting the nervous system.

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The analysis framework used to quantify drug potency in vitro (e.g., or ) was initially developed for classical pharmacology bioassays, for example, organ bath experiments testing moderate-affinity natural products.

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The adenosine A receptor (AR) belongs to a family of four adenosine receptor (AR) subtypes which all play distinct roles throughout the body. AR antagonists have been described as potential treatments for numerous diseases including asthma. Given the similarity between (adenosine receptors) orthosteric binding sites, obtaining highly selective antagonists is a challenging but critical task.

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In classical pharmacology, bioassay data are fit to general equations (e.g. the dose response equation) to determine empirical drug parameters (e.

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The kinetics/dynamics of signaling are of increasing value for G-protein-coupled receptor therapeutic development, including spatiotemporal signaling and the kinetic context of biased agonism. Effective application of signaling kinetics to developing new therapeutics requires reliable kinetic assays and an analysis framework to extract kinetic pharmacological parameters. Here we describe a platform for measuring arrestin recruitment kinetics to GPCRs using a high quantum yield, genetically encoded fluorescent biosensor, and a data analysis framework to quantify the recruitment kinetics.

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In drug discovery, it is essential to accurately measure drug-target binding affinity. Here, we revisit the fact that target binding kinetics impact the measurement of affinity, using a case study: development of corticotropin-releasing factor antagonists. Slow dissociation of the drug-target complex results in affinity assays being far from equilibrium, which results in erroneous estimates of affinity.

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Introduction: Measuring unlabeled ligand receptor binding kinetics is valuable in optimizing and understanding drug action. Unfortunately, deriving equations for estimating kinetic parameters is challenging because it involves calculus; integration can be a frustrating barrier to the pharmacologist seeking to measure simple rate parameters. Here, a well-known tool for simplifying the derivation, the Laplace transform, is applied to models of receptor-ligand interaction.

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The vesicular monoamine transporter 2 (VMAT2) is an integral presynaptic protein that regulates the packaging and subsequent release of dopamine and other monoamines from neuronal vesicles into the synapse. Valbenazine (NBI-98854), a novel compound that selectively inhibits VMAT2, is approved for the treatment of tardive dyskinesia. Valbenazine is converted to two significant circulating metabolites in vivo, namely, (+)--dihydrotetrabenazine (R,R,R-HTBZ) and a mono-oxy metabolite, NBI-136110.

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Corticotropin-releasing factor (CRF) receptor antagonists are under preclinical and clinical investigation for stress-related disorders. In this study the impact of receptor-ligand binding kinetics on CRF₁ receptor antagonist pharmacology was investigated by measuring the association rate constant (k₁), dissociation rate constant (k₋₁), and kinetically derived affinity at 37°C. Three aspects of antagonist pharmacology were reevaluated: comparative binding activity of advanced compounds, in vivo efficacy, and structure-activity relationships.

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Antagonists of the corticotropin-releasing factor (CRF) neuropeptide may prove effective in treating stress and anxiety related disorders. In an effort to identify antagonists with improved physico-chemical properties a new series of CRF(1) antagonists were designed to substitute the propyl groups at the C7 position of the pyrazolo[1,5-a]pyrimidine core of 1 with heterocycles. Compound (S)-8d was identified as a high affinity ligand with a pK(i) value of 8.

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We introduce a novel experimental method to determine both the extent of ex vivo receptor occupancy of administered compound and its dissociation rate constant (k4). [Here, we reference k4 as the rate of offset of unlabeled ligand in convention with Motulsky and Mahan (1)]. We derived a kinetic rate equation based on the dissociation rate constant for an unlabeled compound competing for the same site as a labeled compound and describe a model to simulate fractional occupancy.

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A series of 2-piperazine-alpha-isopropylbenzylamine derivatives were synthesized and characterized as melanocortin-4 receptor (MC4R) antagonists. Attaching an amino acid to benzylamines 7 significantly increased their binding affinity, and the resulting compounds 8-12 bound selectively to MC4R over other melanocortin receptor subtypes and behaved as functional antagonists. These compounds were also studied for their permeability using Caco-2 cell monolayers and metabolic stability in human liver microsomes.

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Allosteric modulators of G-protein-coupled receptors can regulate conformational states involved in receptor activation ( Mol Pharmacol 58: 1412-1423, 2000 ). This hypothesis was investigated for the corticotropin-releasing factor type 1 (CRF(1)) receptor using a novel series of ligands with varying allosteric effect on CRF binding (inhibition to enhancement). For the G-protein-uncoupled receptor, allosteric modulation of CRF binding was correlated with nonpeptide ligand signaling activity; inverse agonists inhibited and agonists enhanced CRF binding.

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A series of trans-4-phenylpyrrolidine-3-carboxamides were synthesized and characterized as potent ligands of the human melanocortin-4 receptor. Interestingly, a pair of diastereoisomers 13b displayed potent functional agonist and antagonist activity, respectively. Thus, the 3S,4R-pyrrolidine 13b-1 possessed a Ki of 1.

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Benzylamine and pyridinemethylamine derivatives were synthesized and characterized as potent and selective antagonists of the melanocortin-4 receptor (MC4R). These compounds were also profiled in rodents for their pharmacokinetic properties. Two compounds with diversified profiles in chemical structure, pharmacological activities, and pharmacokinetics, 10 and 12b, showed efficacy in an established murine cachexia model.

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A series of trans-4-phenylpyrrolidine-3-carboxamides were synthesized and characterized as potent ligands of the human melanocortin-4 receptor. Interestingly, a pair of diastereoisomers 20f-1 and 20f-2 displayed potent functional agonist and antagonist activity, respectively. Thus, the 3S,4R-compound 20f-1 possessed a K(i) of 11nM and an EC(50) of 24nM, while its 3R,4S-isomer 20f-2 exhibited a K(i) of 8.

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A potent and selective antagonist of the melanocortin-4 receptor, 1-[2-[(1S)-(3-dimethylaminopropionyl)amino-2-methylpropyl]-6-methylphenyl]-4-[(2R)-methyl-3-(4-chlorophenyl)propionyl]piperazine (10d), was identified from a series piperazinebenzylamine attached with a N,N-dimethyl-beta-alanine side chain. This compound possessed high water solubility and exhibited good metabolic profiles. In animals, 10d showed moderate to good oral bioavailability and promoted food intake in tumor-bearing mice after oral administration.

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A series of pyrrolidinones derived from phenylalaninepiperazines were synthesized and characterized as potent and selective antagonists of the melanocortin-4 receptor. In addition to their high binding affinities, these compounds displayed high functional potencies. 12a had a K(i) of 0.

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Class B GPCR's are activated by peptide ligands, typically 30-40 amino acid residues, that are involved in major physiological functions such as glucose homeostasis (glucagon and glucagon-like peptide 1), calcium homeostasis and bone turnover (parathyroid hormone and calcitonin), and control of the stress axis (corticotropin-releasing factor). Peptide therapeutics have been developed targeting these receptors but development of nonpeptide ligands, enabling oral administration, has proved challenging. Allosteric modulation of these receptors provides a potential route to developing nonpeptide ligands that inhibit, activate, or potentiate activation of these receptors.

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A series of pyrrolidinones derived from phenylalanines were synthesized as potent antagonists of the human melanocortin-4 receptor. These compounds showed high potencies and selectivities, and several of them had good oral bioavailabilities. In addition, 12e demonstrated in vivo efficacy in a murine cachexia model.

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Numerous nonpeptide ligands have been developed for the human gonadotropin-releasing hormone (GnRH) receptor as potential agents for treatment of disorders of the reproductive-endocrine axis. While the equilibrium binding of these ligands has been studied in detail, little is known of the kinetics of their receptor interaction. In this study we evaluated the kinetic structure-activity relationships (SAR) of uracil-series antagonists by measuring their association and dissociation rate constants.

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The molecular interactions between non-peptide antagonists and the corticotropin-releasing factor type 1 (CRF1) receptor are poorly understood. A CRF1 receptor mutation has been identified that reduces binding affinity of the non-peptide antagonist NBI 27914 (M276I in transmembrane domain 5). We have investigated the mechanism of the mutation's effect using a combination of peptide and non-peptide ligands and receptor mutations.

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The melanocortin-4 (MC4) receptor is a potential therapeutic target for obesity and cachexia, for which nonpeptide agonists and antagonists are being developed, respectively. The aim of this study was to identify molecular interactions between the MC4 receptor and nonpeptide ligands, and to compare the mechanism of binding between agonist and antagonist ligands. Nonpeptide ligand interaction was affected by mutations that reduce peptide ligand binding (D122A, D126A, S190A, M200A, F261A, and F284A), confirming overlapping binding determinants for peptide and nonpeptide ligands.

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