微小RNA作为对抗新冠肺炎的强大工具:计算视角。

IF 4.6 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL WIREs Mechanisms of Disease Pub Date : 2023-09-01 Epub Date: 2023-06-22 DOI:10.1002/wsbm.1621
Ankur Omer
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引用次数: 0

摘要

严重急性呼吸综合征冠状病毒2是导致当前大流行新冠肺炎(SARS-CoV-2)的病毒。miRNA是RNAi技术的一个组成部分,属于短的非编码ssRNA家族,在对抗这一全球威胁的斗争中可能至关重要,因为它们参与调节复杂的生物化学途径,并可能阻止病毒增殖、翻译和宿主表达。复杂的代谢途径受到许多蛋白质、mRNA和miRNA在miRNA介导的遗传控制中共同作用的活性的调节。近年来,组学数据的数量急剧增加。这些庞大、关联但复杂的代谢调控网络数据为迭代分析提供了丰富的机会;因此,为了获得新的发现,需要进行广泛、深入但时效性强的筛选;这很容易通过使用生物信息学来实现。我们回顾了关于微小RNA、生物信息学和新冠肺炎感染的文献,以总结(1)miRNA在抗击新冠肺炎中的功能,以及(2)在某些值得注意的研究中抗击新冠肺炎的计算方法的使用,以及(3)这些研究在多个目的中使用的抗击新冠肺炎的计算工具。本文分类在:传染病>计算模型。
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MicroRNAs as powerful tool against COVID-19: Computational perspective.

Severe acute respiratory syndrome coronavirus 2 is the virus that is responsible for the current pandemic, COVID-19 (SARS-CoV-2). MiRNAs, a component of RNAi technology, belong to the family of short, noncoding ssRNAs, and may be crucial in the battle against this global threat since they are involved in regulating complex biochemical pathways and may prevent viral proliferation, translation, and host expression. The complicated metabolic pathways are modulated by the activity of many proteins, mRNAs, and miRNAs working together in miRNA-mediated genetic control. The amount of omics data has increased dramatically in recent years. This massive, linked, yet complex metabolic regulatory network data offers a wealth of opportunity for iterative analysis; hence, extensive, in-depth, but time-efficient screening is necessary to acquire fresh discoveries; this is readily performed with the use of bioinformatics. We have reviewed the literature on microRNAs, bioinformatics, and COVID-19 infection to summarize (1) the function of miRNAs in combating COVID-19, and (2) the use of computational methods in combating COVID-19 in certain noteworthy studies, and (3) computational tools used by these studies against COVID-19 in several purposes. This article is categorized under: Infectious Diseases > Computational Models.

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来源期刊
WIREs Mechanisms of Disease
WIREs Mechanisms of Disease MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
11.40
自引率
0.00%
发文量
45
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