Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis | Zendy

Debasmita Mukhopadhyay | Zendy; Nour AlSawaftah | Zendy; Ghaleb A. Husseini | Zendy

Open Access

Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis

Author(s) -

Debasmita Mukhopadhyay,

Nour AlSawaftah,

Ghaleb A. Husseini

Publication year - 2020

Publication title -

acs pharmacology and translational science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.271

H-Index - 10

ISSN - 2575-9108

DOI - 10.1021/acsptsci.0c00199

Subject(s) - in silico , microrna , identification (biology) , breast cancer , cancer , covid-19 , computational biology , medicine , bioinformatics , cancer research , biology , gene , genetics , disease , botany , infectious disease (medical specialty)

Cancer patients contracting SARS-CoV-2 encounter additional challenges due to inflammatory bursts and lymphopenia, which may aggravate breast cancer prognosis. In this in silico analysis, we identified the potential of miRNAs as new therapeutic targets to treat breast cancer patients infected with COVID-19 via the regulation of ADAM17 and EGFR expression microRNAs.

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