Exploring Protein-Protein Interactions Network, Prediction of Drugs and Association of Genes with Diseases Among Anxiety, Insomnia and Depression: A Computational Biology Approach

In recent research, computational biology and systems biology have been used to analyze the genetic overlap between anxiety, depression, and insomnia. These psychiatric disorders share significant biochemical and genetic traits, complicating treatment. Using bioinformatics tools like Cytoscape and NetworkAnalyst, genes related to these conditions were collected from the NCBI database, filtered, and analyzed. The study identified 274 genes for anxiety, 620 for depression, and 55 for insomnia, with 21 genes through pre-processing and finding common genes. Afterward, we have to identify the top ten most significant hub genes based on the degree value of genes. In this study, protein-protein interaction (PPI) networks, Protein Drug Interaction(PDI) Networks and Gene Regulatory Networkand. Networks have been investigated, with the aim of originating an important suggestion for designing medications for specific diseases. However, the interactions of proteins with drug molecules help to create an efficient drug design in the future.