Kamyar Kamyar, Safakish Mahdieh, Zebardast Tannaz, Hajimahdi Zahra, Zarghi Afshin
Department of Pharmaceutical Chemistry, Faculty of Pharmaceutical Chemistry, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Active Pharmaceutical Ingeredients Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Iran J Pharm Res. 2019 Summer;18(3):1253-1263. doi: 10.22037/ijpr.2019.1100746.
A series of 2-benzoxazolinone, diazocoumarin and quinazoline derivatives have been shown to inhibit HIV replication in cell culture. To understand the pharmacophore properties of selected molecules and design new anti-HIV agents, quantitative structure-activity relationship (QSAR) study was developed using a descriptor selection approach based on the stepwise method. Multiple linear regression method was applied to relate the anti-HIV activities of dataset molecules to the selected descriptors. Obtained QSAR model was statistically significant with correlation coefficient R of 0.84 and leave one out coefficient Q of 0.73. The model was validated by test set molecules giving satisfactory prediction value (R ) of 0.79. Molecules also were docked on HIV integrase enzyme and showed important interactions with the key residues in enzyme active site. These data might be helpful for design and discovery of novel anti-HIV compounds.
一系列2-苯并恶唑啉酮、重氮香豆素和喹唑啉衍生物已被证明在细胞培养中可抑制HIV复制。为了解所选分子的药效团特性并设计新的抗HIV药物,采用基于逐步法的描述符选择方法开展了定量构效关系(QSAR)研究。应用多元线性回归方法将数据集中分子的抗HIV活性与所选描述符相关联。得到的QSAR模型具有统计学意义,相关系数R为0.84,留一法系数Q为0.73。该模型通过测试集分子进行验证,预测值(R)为0.79,结果令人满意。分子还对接在HIV整合酶上,并与酶活性位点的关键残基表现出重要相互作用。这些数据可能有助于新型抗HIV化合物的设计与发现。