Peng Wei, Ding Fei
College of Agriculture and Plant Protection, Qingdao Agricultural University, Qingdao 266109, China; College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China; Department of Chemistry, China Agricultural University, Beijing 100193, China.
College of Agriculture and Plant Protection, Qingdao Agricultural University, Qingdao 266109, China; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Eur J Pharm Sci. 2015 Aug 30;76:119-32. doi: 10.1016/j.ejps.2015.05.005. Epub 2015 May 7.
As the key constituent of ligand-gated ion channels in the central nervous system, nicotinic acetylcholine receptors (nAChRs) and neurodegenerative diseases are strongly coupled in the human species. In recently years the developments of selective agonists by using nAChRs as the drug target have made a large progress, but the studies of selective antagonists are severely lacked. Currently these antagonists rest mainly on the extraction of partly natural products from some animals and plants; however, the production of these crude substances is quite restricted, and artificial synthesis of nAChR antagonists is still one of the completely new research fields. In the context of this manuscript, our primary objective was to comprehensively analyze the recognition patterns and the critical interaction descriptors between target α7 nAChR and a series of the novel compounds with potentially antagonistic activity by means of virtual screening, molecular docking and molecular dynamics simulation, and meanwhile these recognition reactions were also compared with the biointeraction of α7 nAChR with a commercially natural antagonist - methyllycaconitine. The results suggested clearly that there are relatively obvious differences of molecular structures between synthetic antagonists and methyllycaconitine, while the two systems have similar recognition modes on the whole. The interaction energy and the crucially noncovalent forces of the α7 nAChR-antagonists are ascertained according to the method of Molecular Mechanics/Generalized Born Surface Area. Several amino acid residues, such as B/Tyr-93, B/Lys-143, B/Trp-147, B/Tyr-188, B/Tyr-195, A/Trp-55 and A/Leu-118 played a major role in the α7 nAChR-antagonist recognition processes, in particular, residues B/Tyr-93, B/Trp-147 and B/Tyr-188 are the most important. These outcomes tally satisfactorily with the discussions of amino acid mutations. Based on the explorations of three-dimensional quantitative structure-activity relationships, the structure-antagonistic activity relationships of antagonists and the characteristics of α7 nAChR-ligand recognitions were received a reasonable summary as well. These attempts emerged herein would not only provide helpful guidance for the design of α7 nAChR antagonists, but shed new light on the subsequent researches in antagonistic mechanism.
作为中枢神经系统中配体门控离子通道的关键组成部分,烟碱型乙酰胆碱受体(nAChRs)与人类神经退行性疾病紧密相关。近年来,以nAChRs为药物靶点开发选择性激动剂取得了很大进展,但选择性拮抗剂的研究严重不足。目前这些拮抗剂主要依赖于从一些动植物中提取部分天然产物;然而,这些粗提物的产量相当有限,nAChR拮抗剂的人工合成仍然是全新的研究领域之一。在本论文中,我们的主要目标是通过虚拟筛选、分子对接和分子动力学模拟,全面分析目标α7 nAChR与一系列具有潜在拮抗活性的新型化合物之间的识别模式和关键相互作用描述符,同时将这些识别反应与α7 nAChR与一种商业天然拮抗剂——甲基lycaconitine的生物相互作用进行比较。结果清楚地表明,合成拮抗剂与甲基lycaconitine在分子结构上存在较为明显的差异,而两个体系在整体上具有相似的识别模式。根据分子力学/广义玻恩表面积方法确定了α7 nAChR-拮抗剂的相互作用能和关键非共价力。几个氨基酸残基,如B/Tyr-93、B/Lys-143、B/Trp-147、B/Tyr-188、B/Tyr-195、A/Trp-55和A/Leu-118在α7 nAChR-拮抗剂识别过程中起主要作用,特别是残基B/Tyr-93、B/Trp-147和B/Tyr-188最为重要。这些结果与氨基酸突变的讨论结果令人满意地吻合。基于三维定量构效关系的探索,拮抗剂的构效关系以及α7 nAChR-配体识别的特征也得到了合理总结。本文中的这些尝试不仅将为α7 nAChR拮抗剂的设计提供有益指导,也为拮抗机制的后续研究提供新的思路。