利用QSAR和分子模型研究一系列亚甲基蓝偶联物中的NMDA受体通道阻滞剂

V. Y. Grigorev, K. Shcherbakov, D. E. Polianczyk, А.N. Razdolsky, A. Veselovsky, V. Grigoriev, A. Yarkov, О.А. Raevsky
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引用次数: 0

摘要

采用多元线性回归、随机森林、支持向量机、高斯过程等四种QSAR方法和分子对接,研究了29种亚甲基蓝偶联物和咔唑、四氢咔唑、取代吲哚、γ-卡波啉衍生物等四种化学结构与1-氧丙烯间隔剂联合作为NMDA受体(MK-801结合位点)通道阻滞剂的作用。QSAR模型具有令人满意的特性。回归模型在统计水平上的分析揭示了氢键在复杂地层中的重要作用。这也被对接配合物模型的研究所证实。发现部分化合物抑制活性的增强可能是由于配体和受体之间出现了额外的H键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of NMDA Receptor Channel Blockers in a Series of Methylene Blue Conjugates Using QSAR and Molecular Modeling
29 conjugates of methylene blue and four chemical structures, including derivatives of carbazole, tetrahydrocarbazole, substituted indoles and γ-carboline, combined with a 1-oxopropylene spacer have been studied as channel blockers of the NMDA receptor (binding site of MK-801) by using four QSAR methods (multiple linear regression, random forest, support vector machine, Gaussian process) and molecular docking. QSAR models have satisfactory characteristics. The analysis of regression models at the statistical level revealed an important role of the hydrogen bond in the complex formation. This was also confirmed by the study of modeled by docking complexes. It was found that the increase in the inhibitory activity of the part of compounds could be attributed to appearance of additional H bonds between the ligands and the receptor.
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