Sewell Jason C, Raines Douglas E, Eger Edmond I, Laster Michael J, Sear John W
Nuffield Department of Anesthetics, University of Oxford, The John Radcliffe Hospital, Headington, Oxford, UK.
Anesth Analg. 2009 Jan;108(1):168-75. doi: 10.1213/ane.0b013e31818de158.
Aromatic anesthetics exhibit a wide range of N-methyl-d-aspartate (NMDA) receptor inhibitory potencies and immobilizing activities. We sought to characterize the molecular basis of NMDA receptor inhibition using comparative molecular field analysis (CoMFA), and compare the results to those from an equivalent model for immobilizing activity.
Published potency data for 14 compounds were supplemented with new values for 2 additional agents. The anesthetics were divided into a training set (n = 12) used to formulate the activity models and a test set (n = 4) used to independently assess the models' predictive capability. The anesthetic structures were geometry optimized using ab initio quantum mechanics and aligned by field-fit minimization to provide the best correlation between the steric and electrostatic fields of the molecules and one or more lead structures. Orientations that yielded CoMFA models with the greatest predictive capability (assessed by leave-one-out cross-validation) were retained.
The final CoMFA model for the inhibition of NR1/NR2B NMDA receptors explained 99.3% of the variance in the observed activities of the 12 training set agents (F(2,)(9) = 661.5, P < 0.0001). The model effectively predicted inhibitory potency for the training set (cross-validated r(2)(CV) = 0.944) and 4 excluded test set compounds (predictive r(2)(Pred) = 0.966). The equivalent model for immobility in response to noxious stimuli explained 98.0% of the variance in the observed activities for the training set (F(2,)(9) = 219.2, P < 0.0001) and exhibited adequate predictive capability for both the training set (r(2)(CV) = 0.872) and test set (r(2)(Pred) = 0.926) agents. Comparison of pharmacophoric maps showed that several key steric and electrostatic regions were common to both activity models, but differences were observed in the relative importance of these key regions with respect to the two aspects of anesthetic activity.
The similarities in the pharmacophoric maps are consistent with NMDA receptors contributing part of the immobilizing activity of volatile aromatic anesthetics.
芳香族麻醉剂表现出广泛的N-甲基-D-天冬氨酸(NMDA)受体抑制效力和麻醉活性。我们试图用比较分子场分析(CoMFA)来描述NMDA受体抑制的分子基础,并将结果与等效的麻醉活性模型的结果进行比较。
已发表的14种化合物的效力数据补充了另外2种药物的新值。将麻醉剂分为用于构建活性模型的训练集(n = 12)和用于独立评估模型预测能力的测试集(n = 4)。使用从头算量子力学对麻醉剂结构进行几何优化,并通过场拟合最小化进行比对,以使分子的空间和静电场与一种或多种先导结构之间具有最佳相关性。保留产生具有最大预测能力的CoMFA模型的取向(通过留一法交叉验证评估)。
抑制NR1/NR2B NMDA受体的最终CoMFA模型解释了12种训练集药物观察到的活性中99.3%的方差(F(2,)(9) = 661.5,P < 0.0001)。该模型有效地预测了训练集的抑制效力(交叉验证r(2)(CV) = 0.944)和4种排除的测试集化合物(预测r(2)(Pred) = 0.966)。对有害刺激产生麻醉作用的等效模型解释了训练集观察到的活性中98.0%的方差(F(2,)(9) = 219.2,P < 0.0001),并且对训练集(r(2)(CV) = 0.872)和测试集(r(2)(Pred) = 0.926)药物均表现出足够的预测能力。药效团图谱比较表明,两种活性模型有几个关键的空间和静电区域是相同的,但这些关键区域在麻醉活性两个方面的相对重要性存在差异。
药效团图谱的相似性与NMDA受体促成挥发性芳香族麻醉剂的部分麻醉活性是一致的。