Two distinct families of small molecules were discovered as novel α7 nicotinic acetylcholine receptor (nAChR) antagonists by pharmacophore-based virtual screening. These novel antagonists exhibited selectivity for the neuronal α7 subtype over other nAChRs and good brain penetration. Neuroprotection was demonstrated by representative compounds 7i and 8 in a mouse seizure-like behavior model induced by the nerve agent diisopropylfluorophosphate (DFP). These novel nAChR antagonists have potential use as antidote for organophosphorus nerve agent intoxication.
KeywordsNicotinic acetylcholine receptors; α7 antagonists; Pharmacophore; Neuroprotection Nicotinic acetylcholine receptors (nAChRs) belong to the Cys-loop subfamily of pentameric ligand-gated ion channels and can be classified into muscle-type and neuronal subtypes. The neuronal nAChRs comprise twelve subunits (α2-α10 and β2-β4) with different arrangements, while the muscle-type is consisted of four subunits in a single arrangement of α1γα1β1δ (γ is replaced by ε in the adult). 1 Two major neuronal receptors α4β2 and α7 have been identified in the central nervous system. 2,3 The neuronal α7 nAChR has been proposed as a potential therapeutic target for a broad range of neurodegenerative and psychiatric diseases, including Alzheimer's disease, schizophrenia, anxiety, and epilepsy. 4-8 A variety of selective partial and full agonists have been developed for the α7 nAChR as potential therapeutics. 4 Several α7 nAChR selective agonists (e.g., TC-5619 and MEM-3454) have advanced to clinical trials for Alzheimer's disease and schizophrenia. [9][10][11] Although extensive efforts have been taken to identify selective α7 nAChR agonists, the development of α7 selective antagonists is relatively limited. Naturally derived compounds have been reported as α7 selective antagonists. For example, the krait Bungarus multicinctus derived peptide toxin α-bungarotoxin (α-BTX) and the seeds of Delphinum isolated nonpetide toxin methyllycaconitine (MLA) are two frequently used α7 selective antagonists. 12,13 Unfortunately, α-BTX is a potent antagonist for muscle-type nAChRs as well, and both In our effort to search for novel α7 nAChR selective ligands, we developed three dimensional (3D) pharmacophore models and conducted ligand-based virtual screening. Six potent and selective α7 ligands were selected as the training set for the pharmacophore model (Fig. 1). [17][18][19][20] The structures of all compounds were built with Molecular Operating Environment (MOE). 21 Energy minimization was conducted for the protonated forms using AM1 since all these compounds could be protonated at physiological conditions (pH 7.4). Flexible structural alignments were performed to identify the common chemical features responsible for the α7 receptor binding using the Flexible Alignment module within MOE. This alignment method uses a stochastic search algorithm to simultaneously explore the conformation space of all compounds in the training set. This operation generated several scores to quan...