Figure 2 | Scientific Reports

Figure 2

From: An in silico analysis identifies drugs potentially modulating the cytokine storm triggered by SARS-CoV-2 infection

Figure 2

Compounds triggering transcriptional signatures opposed to the COVIDCS. (A) COVIDCS similarity scores for drug types (CMap Classes) already under study for the treatment of the COVID-19 CS. (B) Drug GSEA analysis of compound classes with a transcriptional signature that negatively correlates to the COVIDCS. Enriched pathways with padj value < 0.05 are shown, as well as their gene ranks, Normalized Enrichment Scores (NES), p-value (pval) and adjusted p-value (padj). (C, D) Enrichment plots of Glucocorticoid receptor agonists (C) and MEK inhibitors (D) resulting from the Drug GSEA analysis mentioned in (B) illustrating the overall negative correlation between the transcriptional signatures triggered by these compounds and the COVIDCS. (E) Similarity scores of the top CMap Classes with an associated transcriptional signature that negatively correlates to the COVIDCS. (F) Similarity scores of specific compounds with a COVIDCS similarity score lower than − 95. MEK inhibitors (blue), RAF/EGFR/MAPK inhibitors (orange) and glucocorticoid receptor agonists (red) are highlighted by the indicated colors.

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