摘要
背景:HIV-1逆转录酶抑制作用的抑制剂的设计(HIV-1 RT)是一种用于治疗HIV感染的成功治疗。可用于HIV-1逆转录酶抑制剂,非核苷类逆转录酶抑制剂(NNRTI)已经证明是非常有前途的临床批准的药品。然而,许多这些药物的效率已由HIV-1 RT目前审查的目的是提供领先的优化策略从三维构效研究NNRTI类从过去21年的总结,减少耐药变异(1995到2016)。 方法:构象依赖基于对齐(CoMFA和CoMSIA)方法已经在药物设计被证明是非常成功的基于配体的策略。在这里,CoMFA和CoMSIA研究报告的结构不同的药物包括thiazolobenzimidazole,dipyridodiazepinone,1,1,3-trioxo [ 2 ] -噻二嗪,formimidoester硫化物,硫代氨基甲酸酯、噻唑烷酮衍生物,等进行了详细的讨论。此外,我们探讨了驱动蛋白质-配体相互作用的官能团的位置。 结果:构效关系(SAR)从这些类药物CoMFA和CoMSIA研究揭示不仅与方法框架协议还提供优化的一种有效方式引导。除了分子对接实验,计算,以了解非核苷类逆转录酶抑制剂化合物的结合模式是常见的蛋白质-配体相互作用的指纹。 结论:总的来说,本文以蛋白质-配体相互作用的详细讨论,同时与SAR。这样的讨论将有助于药用化学家获得新的和有前途的NNRTI的候选人设计一个更好的理解。
关键词: HIV-1逆转录酶抑制剂,逆转录酶,SAR,3D-QSAR,CoMFA、CoMSIA。
Current Medicinal Chemistry
Title:HIV-1 Non-Nucleoside Reverse Transcriptase Inhibitors: SAR and Lead Optimization Using CoMFA and CoMSIA Studies (1995-2016)
Volume: 24 Issue: 34
关键词: HIV-1逆转录酶抑制剂,逆转录酶,SAR,3D-QSAR,CoMFA、CoMSIA。
摘要: Background: Design of inhibitors for HIV-1 reverse transcriptase inhibition (HIV-1 RT) is one of the successful chemotherapies for the treatment of HIV infection. Among the inhibitors available for HIV-1 RT, non-nucleoside reverse transcriptase inhibitors (NNRTIs) have shown to be very promising and clinically approved drugs. However, the efficiency of many of these drugs has been reduced by the drug-resistant variants of HIV-1 RT. The aim of the current review is to provide a summary of lead optimization strategies from the 3D-QSARs studies on NNRTI class from the past 21 years (1995 to 2016).
Methods: The conformation dependent-alignment based (CoMFA and CoMSIA) methods have been proven very successful ligand based strategy in the drug design. Here, CoMFA and CoMSIA studies reported for structurally distinct NNRTIs including thiazolobenzimidazole, dipyridodiazepinone, 1,1,3-trioxo [1,2,4]-thiadiazine, formimidoester disulfides, thiocarbamate, thiazolidinone derivatives, etc. have been discussed in detail. In addition, we explore the position of the functional groups that drive the protein-ligand interaction.
Results: The structure-activity relationship (SAR) revealed from CoMFA and CoMSIA studies of these drug classes is not only in agreement with the structure-based method but also provides an efficient way of lead optimization. In addition to molecular docking experiments, protein-ligand interaction fingerprints were calculated in order to understand the common binding mode of NNRTI compounds.
Conclusion: Overall, this review enlightens the protein-ligand interactions with a detailed SAR discussion for chemotypes. Such discussion will help medicinal chemist to gain a better understanding for the design of novel and promising NNRTI candidates.
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HIV-1 Non-Nucleoside Reverse Transcriptase Inhibitors: SAR and Lead Optimization Using CoMFA and CoMSIA Studies (1995-2016), Current Medicinal Chemistry 2017; 24 (34) . https://dx.doi.org/10.2174/0929867324666170705122851
DOI https://dx.doi.org/10.2174/0929867324666170705122851 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
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