Network Analysis of Genes and Identification of Candidate Drug Compounds for Associated Deadly Diseases of Females

Abstract Background & objective: Bladder cancer (BLC), breast cancer (BRC), endometrial cancer (ENC), cervical cancer (CEC), thyroid cancer (TYC), brain cancer (BRC), and prostate cancer (PRC) are all prevalent diseases in women. The fatality rate from these cancers is extremely high. When a woman suffers from one of these disorders, her chances of contracting the others rise. It is also discovered that many common genetic variables are interconnected among various disorders, as demonstrated in the works. The primary goal is to eliminate the most prevalent gene targets among BLC, BRC, ENC, CEC, TYC, BRC, and PRC illnesses. Method The preprocessing and filtering procedure results in a reduction in generation. Protein-protein interaction (PPI) networks for seven seed genes are divided into two categories: generic PPI and tissue-specific PPI. Finally, topological analysis identifies eight common genes required for the examination of pathways, gene regulatory networks (GRN), co-expression, and physical interaction networks. Gene ontology analysis provides a better knowledge of biological processes, cellular components, and molecular functions. Results We can see from the research that the Interaction of proteins with drug molecules plays a role in the design of effective medicine. These drugs can then be considered in real life by further research and verification through various chemical experiments. Conclusions Future studies will analyse the structure of those genes to help take precautionary measures. The outcomes of the study will help in the development of future medications for cancer diseases.