Probing the Immune System Dynamics of the COVID-19 Disease for Vaccine Designing and Drug Repurposing Using Bioinformatics Tools

Deepshikha Yadav, S. Agarwal, Pranav Pancham, Divya Jindal, V. Agarwal, Premshankar Kumar Dubey, S. Jha, Shalini Mani, Rachana, A. Dey, N. Jha, K. Kesari, Manisha Singh
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Abstract

The pathogenesis of COVID-19 is complicated by immune dysfunction. The impact of immune-based therapy in COVID-19 patients has been well documented, with some notable studies on the use of anti-cytokine medicines. However, the complexity of disease phenotypes, patient heterogeneity and the varying quality of evidence from immunotherapy studies provide problems in clinical decision-making. This review seeks to aid therapeutic decision-making by giving an overview of the immunological responses against COVID-19 disease that may contribute to the severity of the disease. We have extensively discussed theranostic methods for COVID-19 detection. With advancements in technology, bioinformatics has taken studies to a higher level. The paper also discusses the application of bioinformatics and machine learning tools for the diagnosis, vaccine design and drug repurposing against SARS-CoV-2.
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利用生物信息学工具探索COVID-19疾病的免疫系统动力学,用于疫苗设计和药物再利用
COVID-19的发病机制是复杂的免疫功能障碍。免疫疗法对COVID-19患者的影响已得到充分记录,其中一些关于使用抗细胞因子药物的研究值得注意。然而,疾病表型的复杂性、患者异质性和免疫治疗研究证据质量的差异为临床决策提供了问题。本综述旨在通过概述可能导致疾病严重程度的针对COVID-19疾病的免疫反应来帮助制定治疗决策。我们广泛讨论了COVID-19检测的治疗方法。随着技术的进步,生物信息学的研究已经达到了一个更高的水平。本文还讨论了生物信息学和机器学习工具在SARS-CoV-2的诊断、疫苗设计和药物再利用中的应用。
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来源期刊
Immuno-Analyse & Biologie Specialisee
Immuno-Analyse & Biologie Specialisee 医学-医学实验技术
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审稿时长
6-12 weeks
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