Suppr超能文献

一种针对病毒基因组的抗病毒药物新方法。

A Novel Approach of Antiviral Drugs Targeting Viral Genomes.

作者信息

Hoang Phuong Thi, Luong Quynh Xuan Thi, Ayun Ramadhani Qurrota, Lee Yongjun, Vo Thuy Thi Bich, Kim Taehyun, Lee Sukchan

机构信息

Department of Integrative Biotechnology, Sungkyunkwan University, Suwon 16419, Gyeonggi-do, Korea.

Novelgen Co., Ltd., R&D Center, 77, Changnyong-daero 256 Beon-gil, Yeongtong-gu, Suwon 16229, Gyeonggi-do, Korea.

出版信息

Microorganisms. 2022 Jul 31;10(8):1552. doi: 10.3390/microorganisms10081552.

Abstract

Outbreaks of viral diseases, which cause morbidity and mortality in animals and humans, are increasing annually worldwide. Vaccines, antiviral drugs, and antibody therapeutics are the most effective tools for combating viral infection. The ongoing coronavirus disease 2019 pandemic, in particular, raises an urgent need for the development of rapid and broad-spectrum therapeutics. Current antiviral drugs and antiviral antibodies, which are mostly specific at protein levels, have encountered difficulties because the rapid evolution of mutant viral strains resulted in drug resistance. Therefore, degrading viral genomes is considered a novel approach for developing antiviral drugs. The current article highlights all potent candidates that exhibit antiviral activity by digesting viral genomes such as RNases, RNA interference, interferon-stimulated genes 20, and CRISPR/Cas systems. Besides that, we introduce a potential single-chain variable fragment (scFv) that presents antiviral activity against various DNA and RNA viruses due to its unique nucleic acid hydrolyzing characteristic, promoting it as a promising candidate for broad-spectrum antiviral therapeutics.

摘要

病毒性疾病的爆发在全球范围内逐年增加,这些疾病会导致动物和人类发病和死亡。疫苗、抗病毒药物和抗体疗法是对抗病毒感染最有效的工具。特别是当前的2019冠状病毒病大流行,迫切需要开发快速且广谱的治疗方法。目前的抗病毒药物和抗病毒抗体大多在蛋白质水平上具有特异性,由于突变病毒株的快速进化导致耐药性,它们遇到了困难。因此,降解病毒基因组被认为是开发抗病毒药物的一种新方法。本文重点介绍了所有通过消化病毒基因组展现抗病毒活性的有效候选物,如核糖核酸酶、RNA干扰、干扰素刺激基因20以及CRISPR/Cas系统。除此之外,我们还介绍了一种潜在的单链可变片段(scFv),由于其独特的核酸水解特性,它对各种DNA和RNA病毒都具有抗病毒活性,这使其成为广谱抗病毒治疗的一个有前景的候选物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17e5/9414836/ee83895bb274/microorganisms-10-01552-g001.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