Suppr超能文献

利用分子对接、密度泛函理论(DFT)、定量构效关系(QSAR)和非共价相互作用区域密度梯度(NCI-RDG)研究评估某些磷酰胺的抗冠状病毒活性及其影响抑制因素。

Evaluating anti-coronavirus activity of some phosphoramides and their influencing inhibitory factors using molecular docking, DFT, QSAR, and NCI-RDG studies.

作者信息

Gholivand Khodayar, Mohammadpanah Fahimeh, Pooyan Mahsa, Roohzadeh Roohollah

机构信息

Department of Chemistry, Faculty of Science, Tarbiat Modares University, Tehran, Iran.

出版信息

J Mol Struct. 2022 Jan 15;1248:131481. doi: 10.1016/j.molstruc.2021.131481. Epub 2021 Sep 12.

Abstract

The recent prevalence of coronavirus disease in 2019 (COVID-19) has triggered widespread global health concerns.Antiviral drugs based on phosphoramides have significant inhibitory activity against the main protease (M) of the virus and prevent transcription and viral replication. Hence, in order to design and introduce a group of inhibitors affecting the coronavirus, 35 phosphoramide compounds based on phospho-guanine and phospho-pyrazine derivatives were selected for molecular docking study. The results showed that most phosphoguanides containing the amino benzimidazole have a high interaction tendency with COVID-19. Among them, compound 19 was identified as the strongest inhibitor with the -9.570 kcal/mol binding energy whereas, the binding energy of Remdesivir is -6.75 kcal/mol. The quantitative structure-activity relationship (QSAR) results demonstrated that the number of aromatic rings, amide's nitrogens and their ability in π-staking, and hydrogen interactions with M active sites are major factors contributing to the inhibitory activity of these compounds.Also, the NCI-RDG and DFT results were in good accordance with those of QSAR and molecular docking. The findings of this investigation can be underlying the synthesis of effective and efficient drugs against COVID-19.

摘要

2019年冠状病毒病(COVID-19)近期的流行引发了全球广泛的健康担忧。基于磷酰胺的抗病毒药物对该病毒的主要蛋白酶(M)具有显著的抑制活性,并能阻止转录和病毒复制。因此,为了设计和引入一组影响冠状病毒的抑制剂,选择了35种基于磷酸鸟嘌呤和磷酸吡嗪衍生物的磷酰胺化合物进行分子对接研究。结果表明,大多数含氨基苯并咪唑的磷酸鸟嘌呤与COVID-19具有较高的相互作用倾向。其中,化合物19被确定为最强抑制剂,结合能为-9.570千卡/摩尔,而瑞德西韦的结合能为-6.75千卡/摩尔。定量构效关系(QSAR)结果表明,芳香环的数量、酰胺氮原子及其π-堆积能力以及与M活性位点的氢键相互作用是这些化合物抑制活性的主要影响因素。此外,NCI-RDG和DFT结果与QSAR和分子对接结果高度一致。本研究结果可为合成有效对抗COVID-19的药物奠定基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fac8/8435241/948dec43331b/gr8_lrg.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验