Relationship Between Drug Targets and Drug-Signature Networks: A Network-Based Genome-Wide Landscape [post]

Chaewon Lee, Sungmin Kim, Soonok Sa, Sang-Min Nam, Hyun Wook Han
2021 unpublished
Drugs produce pharmaceutical and adverse effects that arise from the complex relationship between drug targets and signatures; by considering such relationships, we can begin to understand the cellular mechanisms of drugs. In this study, we selected 463 genes from the DSigDB database corresponding to targets and signatures for 382 FDA-approved drugs with both protein binding information for a drug-target score (KDTN, i.e., the degree to which the protein encoded by the gene binds to a number of
more » ... drugs) and microarray signature information for a drug-sensitive score (KDSN, i.e., the degree to which gene expression is stimulated by the drug). Accordingly, we constructed two drug–gene bipartite network models, a drug-target network and drug-signature network, which were merged into a multidimensional model. Analysis revealed that the KDTN and KDSN were in mutually exclusive and reciprocal relationships in terms of their biological network structure and gene function. A symmetric balance between the KDTN and KDSN of genes facilitates the possibility of therapeutic drug effects in living organisms. These results provide new insights into the relationship between drugs and genes, specifically drug targets and drug signatures.
doi:10.21203/ fatcat:kc5pq4t2ofe2xhuq666zdz5feq