Introduction

Researchers worldwide with great endeavor searching and repurpose drugs might be potentially useful in fighting newly emerged coronavirus. These drugs show inhibition but also show side effects and complications too. On December 27, 2020, 80,926,235 cases have been reported worldwide. Specifically, in Pakistan, 471,335 has been reported with inconsiderable deaths.

Problem statement

Identification of COVID-19 drugs pathway through drug-gene and gene−gene interaction to find out the most important genes involved in the pathway to deal with the actual cause of side effects beyond the beneficent effects of the drugs.

Methodology

The medicines used to treat COVID-19 are retrieved from the Drug Bank. The drug-gene interaction was performed using the Drug Gene Interaction Database to check the relation between the genes and the drugs. The networks of genes are developed by Gene MANIA, while Cytoscape is used to check the active functional association of the targeted gene. The developed systems cross-validated using the EnrichNet tool and identify drug genes' concerned pathways using Reactome and STRING.

Results

Five drugs Azithromycin, Bevacizumab, CQ, HCQ, and Lopinavir, are retrieved. The drug-gene interaction shows several genes that are targeted by the drug. Gene MANIA interaction network shows the functional association of the genes like co-expression, physical interaction, predicted, genetic interaction, co-localization, and shared protein domains.

Conclusion

Our study suggests the pathways for each drug in which targeted genes and medicines play a crucial role, which will help experts in-vitro overcome and deal with the side effects of these drugs, as we find out the in-silico gene analysis for the COVID-19 drugs.

中文翻译：

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基于计算机网络的针对 COVID-19 药物的分析：人类福祉研究

介绍

全世界的研究人员都在努力寻找和重新利用药物，这可能有助于对抗新出现的冠状病毒。这些药物表现出抑制作用，但也表现出副作用和并发症。截至 2020 年 12 月 27 日，全球报告了 80,926,235 例病例。具体而言，在巴基斯坦，据报告有 471,335 人死亡。

问题陈述

通过药物-基因和基因-基因相互作用识别C​​OVID-19药物途径，找出该途径中涉及的最重要的基因，以处理超出药物有益作用的副作用的实际原因。

方法

用于治疗 COVID-19 的药物是从药物银行检索的。使用药物基因相互作用数据库进行药物-基因相互作用，以检查基因和药物之间的关系。基因网络由 Gene MANIA 开发，而 Cytoscape 用于检查目标基因的活跃功能关联。开发的系统使用 EnrichNet 工具进行交叉验证，并使用 Reactome 和 STRING 识别药物基因的相关途径。

结果

检索到阿奇霉素、贝伐珠单抗、CQ、HCQ 和洛匹那韦五种药物。药物-基因相互作用显示了药物靶向的几个基因。基因 MANIA 相互作用网络显示了基因的功能关联，如共表达、物理相互作用、预测、遗传相互作用、共定位和共享蛋白质结构域。

结论

我们的研究表明了每种药物的途径，其中靶向基因和药物发挥着至关重要的作用，这将帮助专家在体外克服和处理这些药物的副作用，因为我们发现了针对这些药物的计算机基因分析。 COVID-19 药物。