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        1 - Protein- Protein Interaction network analysis for Discovering Potent Candidate Drugs in Female Infertility
        Parinaz Tabrizi-Nezhadi Habib MotieGhader masoud Maleki
        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 proje More
        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. Manuscript profile
      • Open Access Article

        2 - Protein- Protein Interaction network analysis for Discovering Potent Candidate Drugs in Female Infertility
        Parinaz Tabrizi-Nejhadi Habib MotieGhader Masoud Maleki
        This article is based on studying the effects of some potent candidate drugs for the treatment of female infertility. Statistically, it is one of the most important issues experienced by many female groups with the subdivision consisting of primary and secondary inferti More
        This article is based on studying the effects of some potent candidate drugs for the treatment of female infertility. Statistically, it is one of the most important issues experienced by many female groups with the subdivision consisting of primary and secondary infertility. In this article first, genes of female infertility were taken from the Gene Expression Omnibus database, and used to identify the protein-protein interaction network (PPI). Then, three protein modules from the PPI network that is under consideration, were recognized, and followed by drawing the mRNA-miRNA interaction sub-network for each protein module. According to this study, by considering the three main modules, ten miRNAs genes had the most important effect in female infertility, with the genes, MRPS22, BCLAF1, and LYAR having strong positive impact on female infertility. From this study, eventually a drug-gene interaction network for female infertility was obtained. Based on our findings, it is recommended that young couples, use low-risk therapies instead of the prescribed drugs. Finally, to make a scientific conclusion, further studies of the effects of these genes, miRNAs, and drugs in the infertility treatment is needed. Manuscript profile