Interdisciplinary Center for Nanotoxicity, Jackson State University, 1400 J.R. Lynch Street, P.O. Box 17910, Jackson, MS 39217, USA.
Eur J Med Chem. 2010 Sep;45(9):3885-94. doi: 10.1016/j.ejmech.2010.05.042. Epub 2010 May 26.
Early studies have shown that some of diterpenoid alkaloids, found in highly toxic plants of the genera Aconitum and Delphinium, act at neuronal nicotinic acetylcholine receptors (nAChRs) and exhibit potent N-cholinolytic activity. In the current study, GA-MLRA and GA-PLS approaches have been used to build QSAR models to predict N-cholinolytic activity measured in vivo (blockade of neuromuscular conductivity, BNMC and third eyelid relaxing activity, TYRA) and in vitro (suppression of frog's abdominal straight muscles on acetylcholine, SAM) for a series of diterpenoid alkaloids. Random splitting of a data set (five trials in total) produced QSAR models of a good level of correlation between experimental in vitro/in vivo and calculated N-cholinolytic activity expressed as log(1/ED(50)) with following average statistical parameters: log BNMC (r(2) = 0.87, s = 0.14, q(2) = 0.82), log TYRA (r(2) = 0.80, s = 0.29, q(2) = 0.67), log SAM (r(2) = 0.84, s = 29, q(2) = 0.64). QSAR results suggest descriptors accounting for H-bond capability of molecules influence all three type of N-cholinolytic activity with additional contribution of steric and reactivity features as identified for TYRA and SAM data, respectively. The alkaloid-receptor complexes were further analyzed by means of AutoDock Vina docking program using the binding site of MLA complexed with AChBP (homolog of the ligand binding domain of nAChRs) as template. All compounds were shown to be well fitted in the binding pocket of native MLA with good correlation exhibited between their ED(50) and AutoDock Vina binding free energy. An analysis of the possible factors significant for the ligand recognition has been enhanced by comparative docking studies performed for structurally related lycoctonine-type alkaloids (lappaconitine and aconitine) that are known to bind to voltage-gated Na(+) channel, but not to nAChRs.
早期的研究表明,某些二萜生物碱存在于乌头属和飞燕草属的剧毒植物中,作用于神经元烟碱型乙酰胆碱受体(nAChRs),并表现出很强的 N 胆碱酯酶活性。在目前的研究中,GA-MLRA 和 GA-PLS 方法已被用于构建 QSAR 模型,以预测一系列二萜生物碱的体内(神经肌肉传导阻滞,BNMC 和第三眼睑松弛活性,TYRA)和体外(抑制青蛙腹部直肌对乙酰胆碱,SAM)的 N 胆碱酯酶活性。通过数据随机分割(总共 5 次试验)生成了 QSAR 模型,这些模型具有实验体内/体外和计算 N 胆碱酯酶活性之间良好的相关性,以 log(1/ED(50))表示,具有以下平均统计参数:log BNMC(r²=0.87,s=0.14,q²=0.82),log TYRA(r²=0.80,s=0.29,q²=0.67),log SAM(r²=0.84,s=29,q²=0.64)。QSAR 结果表明,描述分子氢键能力的描述符影响所有三种类型的 N 胆碱酯酶活性,并且分别对 TYRA 和 SAM 数据的立体和反应性特征有额外贡献。通过使用与 AChBP(nAChRs 配体结合域的同源物)结合的 MLA 复合物作为模板的 AutoDock Vina 对接程序进一步分析了生物碱-受体复合物。所有化合物都被证明与天然 MLA 的结合口袋很好地拟合,并且它们的 ED(50)和 AutoDock Vina 结合自由能之间表现出很好的相关性。通过对结构相关的 Lycoctonine 型生物碱(拉帕科汀和乌头碱)进行比较对接研究,增强了对可能对配体识别有重要意义的因素的分析,已知这些生物碱与电压门控 Na(+)通道结合,但不与 nAChRs 结合。