Journal: Current Issues in Molecular Biology

Article Title: Artificial Intelligence Approach in Machine Learning-Based Modeling and Networking of the Coronavirus Pathogenesis Pathway †

doi: 10.3390/cimb47060466

Figure Lengend Snippet: Coronavirus pathogenesis pathway overlaid with gene expression data of iPSCs. The coronavirus pathogenesis pathway was overlaid with iPSCs infected with SARS-CoV-2. The expression log ratio of iPSCs infected with SARS-CoV-2 (0.006 MOI) to mock infection was colored in red (upregulated) or green (downregulated) (as of April 2024). Gene expression data ( GSE156754 ) of iPSCs with mock infection and iPSCs infected with SARS-CoV-2 were compared in the IPA database. Red or green coloring indicates upregulated or downregulated gene expression, respectively. Orange or blue coloring indicates predicted activation or inhibition, respectively. The intensity of the colors indicates the degree of up- or downregulation. An orange or blue line indicates activation or inhibition, respectively.

Article Snippet: The coronavirus pathogenesis pathway was analyzed using the Ingenuity Pathway Analysis (IPA) network pathway tool [ , ] ( https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/ ) (accessed on 16 May 2025).

Techniques: Gene Expression, Infection, Expressing, Activation Assay, Inhibition