Molecular Biomarker Identification Using a Network-Based Bioinformatics Approach That Links COVID-19 With Smoking

The COVID-19 coronavirus, which primarily affects the lungs, is source of disease known as SARS-CoV-2. According to “Smoking and COVID-19: a scoping review,” about 32% smokers had severe case pneumonia at their admission time 15% non-smokers this pneumonia. We were able determine genes expressed differently in each group by comparing expression gene transcriptomic datasets patients, smokers, healthy controls. In all, 37 dysregulated are common patients according our analysis. have applied all important methods namely protein-protein interaction, hub-protein drug-protein tf-gene gene-MiRNA interaction bioinformatics analyze understand deeply connection between both smoking severity. also analyzed Pathways Gene Ontology where 5 significant signaling pathways validated with previous literature. Also, we verified 7 hub-proteins, finally, total drugs study.