TP53 and COVID-19: The excel data files obtained from the String database analysis were imported into Cytoscape 3.9.0 overlapping target networks for topological analysis, and targets with degree, closeness, and betweenness greater than the corresponding mean values were filtered out as core targets (degree > 9.3708, closeness > 0.0357, betweenness > 315.2359), as shown in Figure 2B. The results suggested that genes such as RELA, TP53, and TNF may play an important role in the treatment of COVID-19.