Predicting microRNAs as Anti-viral Agents in SARS-CoV-2 Infection Based on the Bioinformatics Approach: A Systematic Review

Author(s):
Mona FaniMona Fani1,*, Hasan Namdar AhmadabadHasan Namdar Ahmadabad1, Amir AzimianAmir Azimian2, Hamed Ghasemzadeh-MoghaddamHamed Ghasemzadeh-MoghaddamHamed Ghasemzadeh-Moghaddam ORCID1
11. Department of Pathobiology and Laboratory Sciences, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran 2. Vector-borne Diseases Research Center, North Khorasan University of Medical Sciences, Bojnurd, Iran
21. Department of Pathobiology and Laboratory Sciences, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran

Journal of Cellular & Molecular Anesthesia:Vol. 6, issue 2; e150286
Published online:Feb 28, 2021
Article type:Review
How to Cite:Fani M, Namdar Ahmadabad H, Azimian A, Ghasemzadeh-Moghaddam H. Predicting microRNAs as Anti-viral Agents in SARS-CoV-2 Infection Based on the Bioinformatics Approach: A Systematic Review. J Cell Mol Anesth. 2021;6(2):e150286. doi: https://doi.org/10.22037/jcma.v6i2.33737

Abstract

References

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    References are in the PDF file of the article.

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