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作为HIV逆转录酶相关核糖核酸酶H抑制剂的3-羟基嘧啶-2,4-二酮衍生物:定量构效关系分析与分子对接研究

3-Hydroxypyrimidine-2, 4-dione Derivatives as HIV Reverse Transcriptase-Associated RNase H Inhibitors: QSAR Analysis and Molecular Docking Studies.

作者信息

Mostoufi Azar, Chamkouri Narges, Kordrostami Samaneh, Alghasibabaahmadi Elham, Mojaddami Ayyub

机构信息

Toxicology Research Center, School of Pharmacy, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Department of Medicinal Chemistry, School of Pharmacy, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

出版信息

Iran J Pharm Res. 2020 Winter;19(1):84-97. doi: 10.22037/ijpr.2020.1101004.

Abstract

AIDS, as a lethal disease, is caused by infection with the HIV virus that affects millions of people. Three essential enzymes should be encoded for replication of HIV virus: protease, integrase and reverse transcriptase (RT). RT has two different activities including DNA polymerase and ribonuclease H (RNase H). However, all of the marketed RT inhibitors target only the DNA polymerase activity. Therefore, ribonuclease H activity may serve as a new target for drug discovery. In the present study, a series of 3-Hydroxypyrimidine-2, 4-dione derivatives as potent RT-associated RNase H inhibitors were applied to QSAR analysis. Two methods including multiple linear regressions (MLR) and partial least squared based on genetic algorithm (GA-PLS) were utilized to find the relationship between the structural feathers and inhibitory activities of these compounds. The best multiple linear regression equation was generated by GA-PLS method. A combination of 2D autocorrelations, topological, atom-centered, and geometrical descriptors were selected by GA-PLS as they had more effects on the inhibitory activity. Then, the molecular docking studies were carried out. The results showed that the important amino acids inside the active site of the enzyme responsible for essential interactions were Gln475, Asp549, Tyr501, Ser515, Trp534, Asp493, Tyr472, and Gln480 which took part in hydrogen bond formation. Furthermore, docking energy was plotted against pIC predicted by GA-PLS method. The result showed that there is a good correlation with R=0.71. Consequently, these findings suggest that the better method, GA-PLS, could be applied to design new compounds and predict their inhibitory activity.

摘要

艾滋病作为一种致命疾病,由感染影响数百万人的艾滋病毒(HIV)引起。HIV病毒复制需要编码三种关键酶:蛋白酶、整合酶和逆转录酶(RT)。RT具有两种不同活性,包括DNA聚合酶和核糖核酸酶H(RNase H)。然而,所有已上市的RT抑制剂仅靶向DNA聚合酶活性。因此,核糖核酸酶H活性可能成为药物研发的新靶点。在本研究中,一系列作为强效RT相关RNase H抑制剂的3-羟基嘧啶-2,4-二酮衍生物被用于定量构效关系(QSAR)分析。利用多元线性回归(MLR)和基于遗传算法的偏最小二乘法(GA-PLS)两种方法来寻找这些化合物的结构特征与抑制活性之间的关系。最佳多元线性回归方程由GA-PLS方法生成。GA-PLS选择了二维自相关、拓扑、原子中心和几何描述符的组合,因为它们对抑制活性有更大影响。然后,进行了分子对接研究。结果表明,负责关键相互作用的酶活性位点内的重要氨基酸为Gln475、Asp549、Tyr501、Ser515、Trp534、Asp493、Tyr472和Gln480,它们参与氢键形成。此外,对接能量与GA-PLS方法预测的pIC作图。结果表明,两者具有良好的相关性,R = 0.71。因此,这些发现表明,更好的方法GA-PLS可用于设计新化合物并预测其抑制活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ab/7462486/df06702d85dc/ijpr-19-84-g001.jpg

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