1,2,3-噻二唑硫代乙酰苯胺类似物作为HIV-1非核苷类逆转录酶抑制剂的2D, 3D-QSAR和对接研究

Shailesh V Jain, Manjunath Ghate, Kamlendra S Bhadoriya, Sanjaykumar B Bari, Amar Chaudhari, Jayshri S Borse
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引用次数: 31

摘要

背景:发现用于抗病毒治疗的临床相关HIV-RT抑制剂已被证明是一项具有挑战性的任务。为了鉴定新的和有效的HIV-RT抑制剂,定量结构-活性关系(QSAR)方法在基于配体的药物设计中变得非常有用和广泛应用。方法:我们对一系列1,2,3-噻二唑硫代乙酰苯胺类似物进行二维和三维(2D和3D) QSAR研究,以阐明HIV-RT抑制活性所需的结构特性。结果:采用多元线性回归方法进行2D-QSAR研究,r2 = 0.97, q2 = 0.94。3D-QSAR研究采用逐步变量选择k-最近邻分子场分析方法;留一交叉验证相关系数q2 = 0.89,非交叉验证相关系数r2 = 0.97。对接分析表明,新系列化合物与标准化合物具有相当的结合亲和力。结论:该方法表明疏水和静电效应主要决定了nnrti的结合亲和力,这将进一步有助于开发新的nnrti。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

2D, 3D-QSAR and docking studies of 1,2,3-thiadiazole thioacetanilides analogues as potent HIV-1 non-nucleoside reverse transcriptase inhibitors.

2D, 3D-QSAR and docking studies of 1,2,3-thiadiazole thioacetanilides analogues as potent HIV-1 non-nucleoside reverse transcriptase inhibitors.

2D, 3D-QSAR and docking studies of 1,2,3-thiadiazole thioacetanilides analogues as potent HIV-1 non-nucleoside reverse transcriptase inhibitors.

2D, 3D-QSAR and docking studies of 1,2,3-thiadiazole thioacetanilides analogues as potent HIV-1 non-nucleoside reverse transcriptase inhibitors.

Unlabelled:

Background: The discovery of clinically relevant inhibitors of HIV-RT for antiviral therapy has proven to be a challenging task. To identify novel and potent HIV-RT inhibitors, the quantitative structure-activity relationship (QSAR) approach became very useful and largely widespread technique forligand-based drug design.

Methods: We perform the two- and three-dimensional (2D and 3D) QSAR studies of a series of 1,2,3-thiadiazole thioacetanilides analogues to elucidate the structural properties required for HIV-RT inhibitory activity.

Results: The 2D-QSAR studies were performed using multiple linear regression method, giving r2 = 0.97 and q2 = 0.94. The 3D-QSAR studies were performed using the stepwise variable selection k-nearest neighbor molecular field analysis approach; a leave-one-out cross-validated correlation coefficient q2 = 0.89 and a non-cross-validated correlation coefficient r2 = 0.97 were obtained. Docking analysis suggests that the new series have comparable binding affinity with the standard compounds.

Conclusions: This approach showed that hydrophobic and electrostatic effects dominantly determine binding affinities which will further useful for development of new NNRTIs.

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