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DrugRepV:针对流行和大流行病毒的再利用药物和化学品摘要。

DrugRepV: a compendium of repurposed drugs and chemicals targeting epidemic and pandemic viruses.

机构信息

Virology Unit and Bioinformatics Centre, Institute of Microbial Technology, Council of Scientific and Industrial Research (CSIR), Sector 39A, Chandigarh-160036, India.

Academy of Scientific and Innovative Research (AcSIR), Ghaziabad-201002, India.

出版信息

Brief Bioinform. 2021 Mar 22;22(2):1076-1084. doi: 10.1093/bib/bbaa421.

Abstract

Viruses are responsible for causing various epidemics and pandemics with a high mortality rate e.g. ongoing SARS-CoronaVirus-2 crisis. The discovery of novel antivirals remains a challenge but drug repurposing is emerging as a potential solution to develop antivirals in a cost-effective manner. In this regard, we collated the information of repurposed drugs tested for antiviral activity from literature and presented it in the form of a user-friendly web server named 'DrugRepV'. The database contains 8485 entries (3448 unique) with biological, chemical, clinical and structural information of 23 viruses responsible to cause epidemics/pandemics. The database harbors browse and search options to explore the repurposed drug entries. The data can be explored by some important fields like drugs, viruses, drug targets, clinical trials, assays, etc. For summarizing the data, we provide overall statistics of the repurposed candidates. To make the database more informative, it is hyperlinked to various external repositories like DrugBank, PubChem, NCBI-Taxonomy, Clinicaltrials.gov, World Health Organization and many more. 'DrugRepV' database (https://bioinfo.imtech.res.in/manojk/drugrepv/) would be highly useful to the research community working to develop antivirals.

摘要

病毒是导致各种高死亡率的传染病和大流行的罪魁祸首,例如目前正在发生的严重急性呼吸综合征冠状病毒 2 型(SARS-CoV-2)危机。新型抗病毒药物的发现仍然是一个挑战,但药物再利用正成为一种有潜力的解决方案,可以以具有成本效益的方式开发抗病毒药物。在这方面,我们从文献中整理了用于抗病毒活性测试的再利用药物的信息,并以名为“DrugRepV”的用户友好型网络服务器的形式呈现。该数据库包含 8485 条条目(3448 个独特条目),包含 23 种导致传染病/大流行的病毒的生物学、化学、临床和结构信息。该数据库提供了浏览和搜索选项,可用于探索再利用药物条目。可以通过药物、病毒、药物靶点、临床试验、测定法等重要字段来探索数据。为了总结数据,我们提供了再利用候选药物的总体统计信息。为了使数据库更具信息量,它与 DrugBank、PubChem、NCBI-Taxonomy、Clinicaltrials.gov、世界卫生组织等各种外部存储库建立了超链接。“DrugRepV”数据库(https://bioinfo.imtech.res.in/manojk/drugrepv/)将对致力于开发抗病毒药物的研究界非常有用。

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