Department of Pharmacy, Guiyang College of Traditional Chinese Medicine, Guiyang 550002, China.
J Mol Model. 2011 Aug;17(8):1831-40. doi: 10.1007/s00894-010-0873-7. Epub 2010 Oct 30.
Infection with hepatitis B virus (HBV) is a major cause of liver diseases such as cirrhosis and hepatocellular carcinoma. In our previous studies, we identified indole derivatives that have anti-HBV activities. In this study, we optimize a series of 5-hydroxy-1H-indole-3-carboxylates, which exhibited potent anti-HBV activities, using three-dimensional quantitative structure-activity relationship (3D QSAR) studies with comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). The lowest energy conformation of compound 3, which exhibited the most potent anti-HBV activity, obtained from systematic search was used as the template for alignment. The best predictions were obtained with the CoMFA standard model (q (2) = 0.689, r (2) = 0.965, SEE = 0.082, F = 148.751) and with CoMSIA combined steric, electrostatic, hydrophobic and H-bond acceptor fields (q (2) = 0.578, r (2) = 0.973, SEE = 0.078, F = 100.342). Both models were validated by an external test set of six compounds giving satisfactory prediction. Based on the clues derived from CoMFA and CoMSIA models and their contour maps, another three compounds were designed and synthesized. Pharmacological assay demonstrated that the newly synthesized compounds possessed more potent anti-HBV activities than before (IC(50): compound 35a is 3.1 μmol/l, compound 3 is 4.1 μmol/l). Combining the clues derived from the 3D QSAR studies and from further validation of the 3D QSAR models, the activities of the newly synthesized indole derivatives were well accounted for. Furthermore, this showed that the CoMFA and CoMSIA models proved to have good predictive ability.
乙型肝炎病毒 (HBV) 感染是肝硬化和肝细胞癌等肝脏疾病的主要原因。在我们之前的研究中,我们鉴定出具有抗 HBV 活性的吲哚衍生物。在这项研究中,我们使用三维定量构效关系 (3D QSAR) 研究,包括比较分子场分析 (CoMFA) 和比较分子相似性指数分析 (CoMSIA),对一系列 5-羟基-1H-吲哚-3-羧酸酯进行了优化,这些化合物表现出很强的抗 HBV 活性。从系统搜索中获得的具有最强抗 HBV 活性的化合物 3 的最低能量构象被用作对齐的模板。CoMFA 标准模型(q (2) = 0.689、r (2) = 0.965、SEE = 0.082、F = 148.751)和 CoMSIA 结合的立体、静电、疏水和氢键接受场(q (2) = 0.578、r (2) = 0.973、SEE = 0.078、F = 100.342)获得了最佳预测结果。这两个模型都通过六个化合物的外部测试集进行了验证,预测结果令人满意。基于 CoMFA 和 CoMSIA 模型及其等高线图得出的线索,设计并合成了另外三个化合物。药理测定表明,新合成的化合物具有比以前更强的抗 HBV 活性(IC 50 :化合物 35a 为 3.1 μmol/L,化合物 3 为 4.1 μmol/L)。结合 3D QSAR 研究和进一步验证 3D QSAR 模型得出的线索,新合成的吲哚衍生物的活性得到了很好的解释。此外,这表明 CoMFA 和 CoMSIA 模型具有良好的预测能力。