Suppr超能文献

抗新型冠状病毒肺炎药物筛选:前沿概念与核心技术

Anti-COVID-19 drug screening: Frontier concepts and core technologies.

作者信息

Luo Hua, Zhao Mingming, Tan Dechao, Liu Chang, Yang Lin, Qiu Ling, Gao Yan, Yu Hua

机构信息

Institute of Chinese Medical Sciences, State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Room 8008, Building N22, Avenida da Universidade, Taipa, Macao SAR China.

出版信息

Chin Med. 2020 Oct 28;15:115. doi: 10.1186/s13020-020-00393-z. eCollection 2020.

Abstract

The outbreak of COVID-19 has recently evolved into a global pandemic. Up to July 2020, almost every country has confirmed COVID-19 cases reported worldwide. Many leading experts have predicted that the epidemic will persist for relatively a long period of time. Thus far, there have been no remedies proven effective against the disease. As the nation where COVID-19 broke out first, China has adopted a combination of traditional Chinese medicine and western medicine to fight against the disease, and has achieved significant clinical result. Up to now, the COVID-19 pandemic has been effectively controlled in China. However, the rest of the world (except for a limited number of countries and regions) is still in deep water. This paper thoroughly summarizes interdisciplinary notions and techniques, including disease model, biochip, network pharmacology, and molecular docking technology, etc., providing a reference for researchers in the screening of drugs for COVID-19 prevention and treatment. These methodologies may facilitate researchers to screen out more potential drugs for treating COVID-19 pneumonia and to tackle this global crisis.

摘要

新型冠状病毒肺炎(COVID-19)疫情最近已演变成一场全球大流行。截至2020年7月,几乎每个国家都有报告全球确诊的COVID-19病例。许多顶尖专家预测,这场疫情将持续相当长一段时间。迄今为止,尚无被证明对该疾病有效的治疗方法。作为最早爆发COVID-19的国家,中国采用了中西医结合的方法来抗击这种疾病,并取得了显著的临床效果。截至目前,COVID-19疫情在中国已得到有效控制。然而,世界其他地区(除了少数国家和地区)仍深陷困境。本文全面总结了跨学科概念和技术,包括疾病模型、生物芯片、网络药理学和分子对接技术等,为研究人员筛选预防和治疗COVID-19的药物提供参考。这些方法可能有助于研究人员筛选出更多治疗COVID-19肺炎的潜在药物,并应对这一全球危机。

相似文献

4
Comparison study of Beninese and Chinese herbal medicines in treating COVID-19.贝宁草药与中药治疗 COVID-19 的对比研究。
J Ethnopharmacol. 2023 May 23;308:116172. doi: 10.1016/j.jep.2023.116172. Epub 2023 Feb 10.

引用本文的文献

4
Research progress of traditional Chinese medicine against COVID-19.中医药防治新冠肺炎研究进展。
Biomed Pharmacother. 2021 May;137:111310. doi: 10.1016/j.biopha.2021.111310. Epub 2021 Feb 3.

本文引用的文献

2
Convalescent Plasma Therapy for COVID-19: State of the Art.恢复期血浆疗法治疗 COVID-19:最新进展。
Clin Microbiol Rev. 2020 Aug 12;33(4). doi: 10.1128/CMR.00072-20. Print 2020 Sep 16.
10
Age-related rhesus macaque models of COVID-19.新型冠状病毒肺炎的年龄相关性恒河猴模型。
Animal Model Exp Med. 2020 Mar 30;3(1):93-97. doi: 10.1002/ame2.12108. eCollection 2020 Mar.

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