网络资源有助于治疗 COVID-19 的药物发现。

Web resources facilitate drug discovery in treatment of COVID-19.

机构信息

Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, China; International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, China.

State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Research and Development Center for Fine Chemicals, Guizhou University, Guiyang 550000, China.

出版信息

Drug Discov Today. 2021 Oct;26(10):2358-2366. doi: 10.1016/j.drudis.2021.04.018. Epub 2021 Apr 20.

DOI:10.1016/j.drudis.2021.04.018

PMID:33892145

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8056987/

Abstract

The infectious disease Coronavirus 2019 (COVID-19) continues to cause a global pandemic and, thus, the need for effective therapeutics remains urgent. Global research targeting COVID-19 treatments has produced numerous therapy-related data and established data repositories. However, these data are disseminated throughout the literature and web resources, which could lead to a reduction in the levels of their use. In this review, we introduce resource repositories for the development of COVID-19 therapeutics, from the genome and proteome to antiviral drugs, vaccines, and monoclonal antibodies. We briefly describe the data and usage, and how they advance research for therapies. Finally, we discuss the opportunities and challenges to preventing the pandemic from developing further.

摘要

传染病 2019 年冠状病毒（COVID-19）继续在全球范围内引发大流行，因此，仍然迫切需要有效的治疗方法。针对 COVID-19 治疗方法的全球研究产生了大量与治疗相关的数据，并建立了数据存储库。然而，这些数据分布在文献和网络资源中，这可能会降低它们的使用水平。在这篇综述中，我们介绍了 COVID-19 治疗方法开发的资源库，从基因组和蛋白质组到抗病毒药物、疫苗和单克隆抗体。我们简要描述了数据及其用途，以及它们如何促进治疗方法的研究。最后，我们讨论了防止大流行进一步发展的机会和挑战。