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用于 COVID-19 药物再利用的网络分析。

Network analytics for drug repurposing in COVID-19.

机构信息

Faculty of Mathematics and Computer Science, ICUB, University of Bucharest, Romania and Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Romania.

Department of Information Technologies, Åbo Akademi University, Turku, Finland.

出版信息

Brief Bioinform. 2022 Jan 17;23(1). doi: 10.1093/bib/bbab490.

Abstract

To better understand the potential of drug repurposing in COVID-19, we analyzed control strategies over essential host factors for SARS-CoV-2 infection. We constructed comprehensive directed protein-protein interaction (PPI) networks integrating the top-ranked host factors, the drug target proteins and directed PPI data. We analyzed the networks to identify drug targets and combinations thereof that offer efficient control over the host factors. We validated our findings against clinical studies data and bioinformatics studies. Our method offers a new insight into the molecular details of the disease and into potentially new therapy targets for it. Our approach for drug repurposing is significant beyond COVID-19 and may be applied also to other diseases.

摘要

为了更好地理解药物再利用在 COVID-19 中的潜力,我们分析了针对 SARS-CoV-2 感染的基本宿主因素的控制策略。我们构建了综合的有向蛋白质-蛋白质相互作用(PPI)网络,整合了排名最高的宿主因素、药物靶蛋白和有向 PPI 数据。我们分析了这些网络,以确定能够有效控制宿主因素的药物靶标及其组合。我们针对临床研究数据和生物信息学研究对我们的发现进行了验证。我们的方法为该疾病的分子细节以及潜在的新治疗靶点提供了新的见解。我们的药物再利用方法不仅在 COVID-19 方面具有重要意义,而且还可以应用于其他疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6396/8769890/85438fdcd34e/bbab490f1.jpg

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