Idiopathic pulmonary arterial hypertension (IPAH) is a disease with complex etiology. Currently, IPAH treatment is limited, and patients’ prognosis is poor. This study aimed to explore new therapeutic targets in IPAH through bioinformatics. Two data sets (GSE113439 and GSE130391) meeting the requirements were obtained from the Gene Expression Omnibus (GEO) database. Then, differentially expressed genes (DEGs) were identified and analyzed by NetworkAnalyst platform. By enriching Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG), we examined the function of DEGs. A protein–protein interaction (PPI) network was constructed to identify central genes using the CytoNCA plug-in. Finally, four central genes, ASPM, CENPE, NCAPG, and TOP2A, were screened out. We selected NCAPG for protein-level verification. We established an animal model of PAH and found that the expression of NCAPG was significantly increased in the lung tissue of PAH rats. In vitro experiments showed that the expression of NCAPG was significantly increased in proliferative pulmonary arterial smooth muscle cells (PASMCs). When NCAPG of PASMCs was knocked down, the cell proliferation was inhibited, which suggested that NCAPG was related to the proliferation of PASMCs. Therefore, these results may provide new therapeutic targets for IPAH.