Text Mining-Based Drug Discovery for Connective Tissue Disease-Associated Pulmonary Arterial Hypertension.

ABSTRACT: Background: The current medical treatments for connective tissue disease-associated pulmonary arterial hypertension (CTD-PAH) do not show favorable efficiency for all patients, and identification of novel drugs is desired. Methods: Text mining was performed to obtain CTD- and PAH-related gene sets, and the intersection of the two gene sets was analyzed for functional enrichment through DAVID. The protein-protein interaction network of the overlapping genes and the significant gene modules were determined using STRING. The enriched candidate genes were further analyzed by Drug Gene Interaction database to identify drugs with potential therapeutic effects on CTD-PAH. Results: Based on text mining analysis, 179 genes related to CTD and PAH were identified. Through enrichm

SUBMITTER: Tan JS 

PROVIDER: S-EPMC8971927 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature