严重急性呼吸综合征冠状病毒(SARS-CoV-2)受体、先天免疫和抗病毒候选药物的调节

I. L. Tarigan, Kartika Arum
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引用次数: 2

摘要

冠状病毒病-19(新冠肺炎)是一种传染性急性呼吸道传染病,由2020年全球大流行的SARS-CoV-2引起。这种疾病在世界上传播最多,并导致一些严重病例,甚至死亡。这篇综述的主要目的是讨论最近发表的关于新冠肺炎基因组调节、先天免疫机制和抗病毒候选药物筛选的文章,以治疗新冠肺炎患者。这篇综述使用了关于新冠肺炎的最新论文,共有63篇具有高影响因素的期刊,如《自然》、《柳叶刀》、《细胞》、《国际生物科学杂志》、《分子生物学方法》。《微生物学、免疫学和感染杂志》,Nat.Rev.Microbiol,以及Scopus、Elsevier和Springer通过体内和体外研究编制的其他国际期刊。严重急性呼吸系统综合征冠状病毒2型的基因组组成与冠状病毒家族相似,尽管具有不同的途径,甚至具有更高的亲和力,因为一些氮碱基的改变被认为对其肺炎有显著影响。在此,我们报道了一篇综述文章,更新了新冠肺炎调节基因组、先天免疫机制和医学文献的最新文献。此外,我们报道了由合成药物和植物药用化合物开发的抗病毒药物。一些研究已经使用体外、体内和生物信息学工具建模进行了重新分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modulation of severe acute respiratory syndrome coronavirus (SARS-CoV-2) in receptor, innate immunity and drug antiviral candidate
The Coronavirus disease-19 (COVID-19) is a contagious acute respiratory infectious disease caused by SARS-CoV-2 as a global pandemic in 2020.  This disease most spreads and causes some severe cases, even death in the world. The primary purpose of this review discusses the recent article that was published regarding COVID-19 genomic modulation, the mechanism of innate immunity, and the screening of anti-viral drug candidates, for treating COVID-19 patients. This review used the latest paper regarding COVID-19 with 63 journals with high impact factors such as Nature, The Lancet, Cells, International Journal of Biological Sciences, Mol Biol Methods. Journal of Microbiology, Immunology, and Infection, Nat. Rev. Microbiol, and other international journals indexed by Scopus, Elsevier, and Springer through in vivo and in vitro studies. The genomic of SARS-CoV-2 consist high similarly to coronaviruses family, albeit possessing a different pathway even has higher affinity, due to changing some nitrogen bases are supposed to have a significant effect on its pneumonia. Herein, we report review article an update on the recent literature of the COVID-19 modulation genome, mechanism of innate immunity, and medical literature. Moreover, we report anti-viral drugs that have been developed from synthetic drugs and medicinal compounds from plants. Several studies have been re-analyzed using in vitro, in vivo, and modelling using bioinformatics tools.
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