Drug repositioning for dengue haemorrhagic fever by integrating multiple omics analyses.

ABSTRACT: To detect drug candidates for dengue haemorrhagic fever (DHF), we employed a computational drug repositioning method to perform an integrated multiple omics analysis based on transcriptomic, proteomic, and interactomic data. We identified 3,892 significant genes, 389 proteins, and 221 human proteins by transcriptomic analysis, proteomic analysis, and human-dengue virus protein-protein interactions, respectively. The drug candidates were selected using gene expression profiles for inverse drug-disease relationships compared with DHF patients and healthy controls as well as interactomic relationships between the signature proteins and chemical compounds. Integrating the results of the multiple omics analysis, we identified eight candidates for drug repositioning to treat DHF that targeted fi

SUBMITTER: Amemiya T 

PROVIDER: S-EPMC6346040 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature