Novel bis-, tris-, and tetrakis-tertiary amino analogs as antagonists at neuronal nicotinic receptors that mediate nicotine-evoked dopamine release.

A series of tertiary amine analogs derived from lead azaaromatic quaternary ammonium salts has been designed and synthesized. The preliminary structure-activity relationships of these new analogs suggest that such tertiary amine analogs, which potently inhibit nicotine-evoked dopamine release from rat striatum, represent drug-like inhibitors of α6-containing nicotinic acetylcholine receptors. The bis-tertiary amine analog 7 exhibited an IC(50) of 0.95 nM, while the tris-tertiary amine analog 19 had an IC(50) of 0.35 nM at nAChRs mediating nicotine-evoked dopamine release.

Novel bis-2,2,6,6-tetramethylpiperidine (bis-TMP) and bis-mecamylamine antagonists at neuronal nicotinic receptors mediating nicotine-evoked dopamine release.

By linking two or three mecamylamine or 2,2,6,6-tetramethylpiperidine (TMP) molecules together via a linear lipophilic bis-methylene linker or a specially designed conformationally restricted tris-linker, a series of bis- and tris-tertiary amine analogs has been synthesized and evaluated as potent antagonists at nAChRs mediating nicotine-evoked [3H]dopamine release from rat striatal slices. Compounds 7e, 14b and 16 demonstrated high potency in decreasing nicotine-evoked [3H]dopamine release (IC50=2.2, 46, and 107 nM, respectively). The preliminary structure-activity data obtained with these new analogs suggest the importance of the length of the methylene linker in the bis-analog series. Such bis-tertiary amino analogs may provide a new strategy for the design of drugable ligands that have high inhibitory potency against nAChRs mediating nicotine-evoked dopamine release in striatum, which have been suggested to be target receptors of interest in the development of potential smoking cessation therapies.

Computational neural network analysis of the affinity of N-n-alkylnicotinium salts for the alpha4beta2* nicotinic acetylcholine receptor.

Based on an 85 molecule database, linear regression with different size datasets and an artificial neural network approach have been used to build mathematical relationships to fit experimentally obtained affinity values (K(i)) of a series of mono- and bis-quaternary ammonium salts from [(3)H]nicotine binding assays using rat striatal membrane preparations. The fitted results were then used to analyze the pattern among the experimental K(i) values of a set of N-n-alkylnicotinium analogs with increasing n-alkyl chain length from 1 to 20 carbons. The affinity of these N-n-alkylnicotinium compounds was shown to parabolically vary with increasing numbers of carbon atoms in the n-alkyl chain, with a local minimum for the C(4) (n-butyl) analogue. A decrease in K(i) value between C(12) and C(13) was also observed. The statistical results for the best neural network fit of the 85 experimental K(i) values are r(2) = 0.84, rmsd = 0.39; r(cv)(2) = 0.68, and loormsd = 0.56. The generated neural network model with the 85 molecule training set may also be of value for future predictions of K(i) values for new virtual compounds, which can then be identified, subsequently synthesized, and tested experimentally.

Tetrakis-azaaromatic quaternary ammonium salts: novel subtype-selective antagonists at neuronal nicotinic receptors that mediate nicotine-evoked dopamine release.

A series of tetrakis-azaaromatic quaternary ammonium salts was synthesized to identify compounds with higher affinity and selectivity as antagonists at neuronal nicotinic receptor subtypes (nAChR) that mediate nicotine-evoked DA release. A high hit rate was achieved in identifying potent analogs that inhibit these nAChRs. Three tetrakis analogs, 11j, 11f, and 11g, were identified as potent (IC(50)=3, 28 and 56nM, respectively) antagonists at these receptors. These compounds represent a novel structural class of nicotinic receptor antagonists.

Computational neural network analysis of the affinity of lobeline and tetrabenazine analogs for the vesicular monoamine transporter-2.

Back-propagation artificial neural networks (ANNs) were trained on a dataset of 104 VMAT2 ligands with experimentally measured log(1/K(i)) values. A set of related descriptors, including topological, geometrical, GETAWAY, aromaticity, and WHIM descriptors, was selected to build nonlinear quantitative structure-activity relationships. A partial least squares (PLS) regression model was also developed for comparison. The nonlinearity of the relationship between molecular descriptors and VMAT2 ligand activity was demonstrated. The obtained neural network model outperformed the PLS model in both the fitting and predictive ability. ANN analysis indicated that the computed activities were in excellent agreement with the experimentally observed values (r(2)=0.91, rmsd=0.225; predictive q(2)=0.82, loormsd=0.316). The generated models were further tested by use of an external prediction set of 15 molecules. The nonlinear ANN model has r(2)=0.93 and root-mean-square errors of 0.282 compared with the experimentally measured activity of the test set. The stability test of the model with regard to data division was found to be positive, indicating that the generated model is predictive. The modeling study also reflected the important role of atomic distribution in the molecules, size, and steric structure of the molecules when they interact with the target, VMAT2. The developed models are expected to be useful in the rational design of new chemical entities as ligands of VMAT2 and for directing synthesis of new molecules in the future.

Identification and synthesis of novel alkaloids from the root system of Nicotiana tabacum: affinity for neuronal nicotinic acetylcholine receptors.

A novel pyridine derivative, 3,5-bis-(1-methyl-pyrrolidin-2-yl)-pyridine, and a pair of diastereomers of 1,1'-dimethyl-[2,3']bipyrrolidinyl were isolated from the root of Nicotiana tabacum plants and identified as novel alkaloids by GC-MS analysis. The structures of these new alkaloids were confirmed by total synthesis. The affinities of these novel alkaloids, and other structurally related compounds for alpha4beta2*, alpha7* neuronal nicotinic acetylcholine receptors (nAChRs), and for nAChRs mediating nicotine-evoked dopamine release from rat striatum were also assessed. The results indicate that these compounds do not interact with alpha7* nAChRs, but inhibit [3H]nicotine binding to the alpha4beta2* nAChR subtype. The results also demonstrate that these compounds act as antagonists at nAChRs mediating nicotine-evoked dopamine release from rat striatum.

Subtype-selective nicotinic receptor antagonists: potential as tobacco use cessation agents.

N-n-Alkylpicolinium and N,N'-alkyl-bis-picolinium analogues were assessed in nicotinic receptor (nAChR) assays. The most potent and subtype-selective analogue, N,N'-dodecyl-bis-picolinium bromide (bPiDDB), inhibited nAChRs mediating nicotine-evoked [(3)H]dopamine release (IC(50)=5 nM; I(max) of 60%), and did not interact with alpha4beta2* or alpha7* nAChRs. bPiDDB represents the current lead compound for development as a tobacco use cessation agent.

Development of subtype-selective ligands as antagonists at nicotinic receptors mediating nicotine-evoked dopamine release.

N-n-Alkylation of nicotine converts it from an agonist into an antagonist at neuronal nicotinic acetylcholine receptor subtypes mediating nicotine-evoked dopamine release. Conformationally restricted analogues exhibit both high affinity and selectivity at this site, and are able to access the brain due to their ability to act as substrates for the blood-brain barrier choline transporter.

bis-Azaaromatic quaternary ammonium analogues: ligands for alpha4beta2* and alpha7* subtypes of neuronal nicotinic receptors.

A series of bis-nicotinium, bis-pyridinium, bis-picolinium, bis-quinolinium and bis-isoquinolinium compounds was evaluated for their binding affinity at nicotinic acetylcholine receptors (nAChRs) using rat brain membranes. N,N'-Decane-1,12-diyl-bis-nicotinium diiodide (bNDI) exhibited the highest affinity for [(3)H]nicotine binding sites (K(i)=330 nM), but did not inhibit [(3)H]methyllycaconitine binding (K(i) >100 microM), indicative of an interaction with alpha4beta2*, but not alpha7* receptor subtypes, respectively. Also, bNDI inhibited (IC(50)=3.76 microM) nicotine-evoked (86)Rb(+) efflux from rat thalamic synaptosomes, indicating antagonist activity at alpha4beta2* nAChRs. N,N'-Dodecane-1,12-diyl-bis-quinolinium dibromide (bQDDB) exhibited highest affinity for [(3)H]methyllycaconitine binding sites (K(i)=1.61 microM), but did not inhibit [(3)H]nicotine binding (K(i)>100 microM), demonstrating an interaction with alpha7*, but not alpha4beta2* nAChRs. Thus, variation of N-n-alkyl chain length together with structural modification of the azaaromatic quaternary ammonium moiety afforded selective antagonists for the alpha4beta2* nAChR subtype, as well as ligands with selectivity at alpha7* nAChRs.