Protein- Protein Interaction network analysis for Discovering Potent Candidate Drugs in Female Infertility

Parinaz Tabrizi-Nezhadi ¹ (Department of Biology, Tabriz Branch, Islamic Azad University, Tabriz, Iran)
Habib MotieGhader ² (Department of Biology, Tabriz Branch, Islamic Azad University, Tabriz, Iran)
masoud Maleki ³ (Department of Biology, Tabriz Branch, Islamic Azad University, Tabriz, Iran)

Submited date : 2022-07-21 accepted date : 2022-09-18

Keywords: PCOs, PPI, Female infertility, microRNA, mRNA-miRNA, Drug-gene network, POF,

Abstract :

Abstract Background: This article aimed to repurpose some candidate drugs for the treatment of female infertility because it is one of the most important issues experienced by most people and is divided into primary and secondary infertility groups. In the current project, genes related to female infertility were collected from the Gene Expression Omnibus database, and then the STRING database was applied to find the protein-protein interaction network (PPI). Next, three protein modules from the reconstructed PPI network were discovered, followed by drawing the mRNA-miRNA interaction sub-network for each protein module. Results: According to this study, among the three main modules, ten miRNAs had the most important role in female infertility. Among the genes, MRPS22, BCLAF1, and LYAR positively impacted female infertility. Eventually, a drug-gene interaction network for female infertility was reconstructed. Conclusion: Based on the findings, it is recommended that young couples, as far as possible, use low-risk therapies instead of the mentioned drugs. Considering that these steps are computational, it is suggested that these genes, miRNAs, and drugs be realistically studied in the laboratory in future research, and low-risk alternative drugs are preferred in other studies.