Table 7.

Network diffusion based drug repurposing studies for Covid-19.

	Title	Datasets used	Repurposed Drugs	Evaluation Criteria	Tools used	Ref.
1	Designing a Network Proximity-Based Drug Repurposing Strategy for COVID-19	BioGRID	–	Network proximity/ Network Diffusion	Cytoscape, VarElect tool	[169]
2	Network medicine framework for identifying drug-repurposing opportunities for COVID-19	13 Datasets, DrugBank, STRING	989 Drugs, 77 Validated in VeroE6 Cells, 76/77 validated in Human Cells	Network proximity, network diffusion, Network AI	Experimental, Ensembl algorithmic prediction	[176]
3	Drug repurposing for coronavirus (SARS-CoV-2) based on gene co-expression network analysis	DGIDb, gene co-expression, DrugBank	5 Drugs	Gene enrichment analysis for Genes and miRNA	Node degree and centralities	[195]
4	Network-based repurposing identifies anti-alarmins as drug candidates to control severe lung inflammation in COVID-19	Uniprot, STRING, CMap, LINCS, GEO	–	Gene expression profiling	CMap ranking	[184]
5	Integrative In Silico Investigation Reveals the Host-Virus Interactions in Repurposed Drugs Against SARS-CoV-2	STITCH, KEGG, BioGRID, PubChem, IID,	–	Enrichment analysis, Molecular docking	DAVID, GOplot, AutoDock Vina, Cytoscape, Ligplot+	[196]
6	Discovery of Potential Therapeutic Drugs for COVID-19 Through Logistic Matrix Factorization with Kernel Diffusion	–	4 Drugs	5-fold cross validations, AUC, AUPRs, recall, similarity diffusion	Molecular docking	[197]
7	HeTDR: Drug repositioning based on heterogeneous networks and text mining	Mesh, DrugBank, PubMed	10 Drugs	AUPR, AUROC, F1-measure	–	[198]
8	MNBDR: A Module Network Based Method for Drug Repositioning	STRING, Cmap, LINCS, GEO,	–	AUC, FPR, Specificity, FDR	GSEA, KEGG enrichment	[199]