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

International Journal of Biophotonics and Biomedical Engineering

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 28 شهریور 1401

نوع مقاله: Research article

شناسه دیجیتال (DOI): 10.30495/ijbbo.2022.1963470.1013

نویسندگان

Parinaz Tabrizi-Nezhadi؛ Habib MotieGhader^* ؛ masoud Maleki

Department of Biology, Tabriz Branch, Islamic Azad University, Tabriz, Iran

چکیده

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.

کلیدواژه‌ها

Female infertility؛ microRNA؛ PPI؛ mRNA-miRNA؛ Drug-gene network؛ POF؛ PCOS