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

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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引用次数: 0

摘要

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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Probing the Immune System Dynamics of the COVID-19 Disease for Vaccine Designing and Drug Repurposing Using Bioinformatics Tools
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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来源期刊
Immuno-Analyse & Biologie Specialisee
Immuno-Analyse & Biologie Specialisee 医学-医学实验技术
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6-12 weeks
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