I've thoroughly analyzed SC-RNA-SEQ data from diseased and healthy patients and now have a list of differentially expressed genes and pathways for a few cell types of interest. Im now trying to cross-reference the list of these pathways/genes with databases to find drugs that can potentially reverse these effects. Is anyone aware of established workflows or packages to do this?

So far, I have used the CTD database but it yields thousands of results so I need to further narrow the data. I've seen network analyses done (where the drugs, pathways, and genes are nodes) allowing people to compute a scoring metric to highlight drugs which interact with the most pathways/genes/etc (see this recent pre print: COVID-19: disease pathways and gene expression changes predict methylprednisolone can improve outcome in severe cases) but Im having trouble finding any resources to reproduce these methods. I of course can just subjectively pick important genes and potential drugs form literature..

Any advice appreciated!