QSAR modeling of mono- and bis-quaternary ammonium salts that act as antagonists at neuronal nicotinic acetylcholine receptors mediating dopamine release

Back-propagation artificial neural networks (ANNs) were trained on a dataset of 42 molecules with quantitative IC50 values to model structure-activity relationships of mono- and bis-quaternary ammonium salts as antagonists at neuronal nicotinic acetylcholine receptors (nAChR) mediating nicotine-evoked dopamine release. The ANN QSAR models produced a reasonable level of correlation between experimental and calculated log(1/IC50) (r2=0.76, r(cv)2=0.64). An external test for the models was performed on a dataset of 18 molecules with IC50 values >1 microM. Fourteen of these were correctly classified. Classification ability of various models, including self-organizing maps (SOM), for all 60 molecules was also evaluated. A detailed analysis of the modeling results revealed the following relative contributions of the used descriptors to the trained ANN QSAR model: approximately 44.0% from the length of the N-alkyl chain attached to the quaternary ammonium head group, approximately 20.0% from Moriguchi octanol-water partition coefficient of the molecule, approximately 13.0% from molecular surface area, approximately 12.6% from the first component shape directional WHIM index/unweighted, approximately 7.8% from Ghose-Crippen molar refractivity, and 2.6% from the lowest unoccupied molecular orbital energy. The ANN QSAR models were also evaluated using a set of 13 newly synthesized compounds (11 biologically active antagonists and two biologically inactive compounds) whose structures had not been previously utilized in the training set. Twelve among 13 compounds were predicted to be active which further supports the robustness of the trained models. Other insights from modeling include a structural modification in the bis-quinolinium series that involved replacing the 5 and/or 8 as well as the 5' and/or 8' carbon atoms with nitrogen atoms, predicting inactive compounds. Such data can be effectively used to reduce synthetic and in vitro screening activities by eliminating compounds of predicted low activity from the pool of candidate molecules for synthesis. The application of the ANN QSAR model has led to the successful discovery of six new compounds in this study with experimental IC50 values of less than 0.1 microM at nAChR subtypes responsible for mediating nicotine-evoked dopamine release, demonstrating that the ANN QSAR model is a valuable aid to drug discovery.

N-n-alkylnicotinium analogs, a novel class of nicotinic receptor antagonist: inhibition of S(-)-nicotine-evoked [(3)H]dopamine overflow from superfused rat striatal slices

The structure of the S(-)-nicotine molecule was modified via N-n-alkylation of the pyridine-N atom to afford a series of N-n-alkylnicotinium iodide salts with carbon chain lengths varying between C(1) and C(12). The ability of these analogs to evoke [(3)H] overflow and inhibit S(-)-nicotine-evoked [(3)H] overflow from [(3)H]dopamine ([(3)H]DA)-preloaded rat striatal slices was determined. At high concentrations, analogs with chain lengths > or =C(6) evoked [(3)H] overflow. Specifically, N-n-decylnicotinium iodide (NDNI; C(10)) evoked significant [(3)H] overflow at 1 microM, and N-n-dodecylnicotinium iodide (NDDNI; C(12)) at 10 microM, whereas N-n-octylnicotinium iodide (NONI; C(8)), N-n-heptylnicotinium iodide (NHpNI; C(7)), and N-n-hexylnicotinium iodide (C(6)) evoked [(3)H] overflow at 100 microM. Thus, intrinsic activity at these concentrations prohibited assessment of inhibitory activity. The most potent N-n-alkylnicotinium analog to inhibit S(-)-nicotine-evoked [(3)H] overflow was NDDNI, with an IC(50) value of 9 nM. NHpNI, NONI, and N-n-nonylnicotinium iodide (C(9)) also inhibited S(-)-nicotine-evoked [(3)H] overflow with IC(50) values of 0.80, 0.62, and 0.21 microM, respectively. In comparison, the competitive neuronal nicotinic acetylcholine receptor (nAChR) antagonist, dihydro-beta-erythroidine, had an IC(50) of 1.6 microM. A significant correlation of N-n-alkyl chain length with analog-induced inhibition was observed, with the exception of NDNI, which was devoid of inhibitory activity. The mechanism of N-n-alkylnicotinium-induced inhibition of the high-affinity, low-capacity component of S(-)-nicotine-evoked [(3)H] overflow was determined via Schild analysis, using the representative analog, NONI. Linear Schild regression and slope not different from unity suggested that NONI competitively interacts with a single nAChR subtype to inhibit S(-)-nicotine-evoked [(3)H]DA release (K(i) value = 80.2 nM). Thus, modification of the S(-)-nicotine molecule converts this agonist into an antagonist at nAChRs, mediating S(-)-nicotine-evoked DA release in striatum.

Exploring the nature of molecular recognition in nicotinic acetylcholine receptors

Nicotinic acetylcholine receptors (nAChRs) are the subject of ever increasing interest because of their presumed involvement in the etiology of numerous clinical disorders. Unfortunately, the absence of atomic-level structural data, as well as the pharmacological complexity of these receptors leaves many fundamental questions unanswered. An understanding of how ligands interact with the receptor and, in-turn, how these interactions lead to pharmacological effect is vital in the advancement of nAChR-based therapeutics. We will first explore physico-chemical themes that are evidenced to be of particular importance in nAChR molecular recognition; these are- pi-cation interaction, conformational entropy and stereochemistry. The second objective of this review is an interpretive encapsulation of the extensive and disparate body of structure-activity data that now exists for nAChRs. Finally, this review will advocate a re-investigation of distance geometry based methods as well as the need for additional approaches in nicotinic receptor pharmacophore generation.

Spiropyrrolizidines: a new class of blockers of nicotinic receptors

The spiropyrrolizidine oximes 236 and 222 and a related spiropyrrolizidine alkaloid, nitropolyzonamine, block nicotinic receptor channels in rat pheochromocytoma PC12 cells and in human medulloblastoma TE671 cells. In PC12 cells with an alpha 3 beta 4(5)-nicotinic receptor, both the spiropyrrolizidine oxime 236 and nitropolyzonamine had IC50 values of about 1.5 microM, while spiropyrrolizidine oxime 222 had an IC50 value of 2.6 microM versus carbamylcholine-elicited sodium-22 influx. In TE671 cells with an alpha 1 beta 1 gamma delta nicotinic receptor, the spiropyrrolizidine oximes 236, 222, and nitropolyzonamine had IC50 values of 9.5, 14, and 67 microM, respectively. The inhibitions by the spiropyrrolizidine oxime 236 and nitropolyzonamine appeared to be noncompetitive in nature in both cell lines. In rat cerebral cortical membranes, binding of [3H]nicotine to alpha 4 beta 2 nicotinic receptors was not inhibited significantly by 10 microM concentrations of the spiropyrrolizidine oxime 236, or by nitropolyzonamine, as expected for a noncompetitive blocker. Both compounds at 10 microM had marginal effects on a variety of central receptors, but did inhibit binding of [3H]1,3-di(2-tolyl) guanidine to sigma receptors in mouse brain membranes with IC50 values of about 0.5 microM. The spiropyrrolizidine oxime 236 at 10 microM had no effect on batrachotoxin-elicited sodium influx in guinea pig cerebral cortical synaptoneurosomes or on ATP-elicited calcium influx in PC12 cells. Such spiropyrrolizidines represent a new structural class of blockers of nicotinic receptor channels with selectivity for ganglionic-type receptors.