Analysis of Topological Properties and Drug Discovery for Bipolar Disorder and Associated Diseases

Abstract

Bioinformatics is the perfect combination of computer as well as biology. We utilize the informatics techniques and imply them on to the biological information to processing genes, genomes, Proteins, sequence, structures and all this things to get what we want. Bioinformatics can helps us today to discover the diseases that are related to other disease lead to each other. Many researcher have work on this field of bioinformatics to find the association of disease to design the drugs. By the use of bio-informatics tools, the area of bio-informatics analysis are expending day by day. Bipolar or manic-depressive disorder might be characterized as one of the most crippling mental problems that affect the people of early age and grown-ups. A few examinations have demonstrated that bipolar issue is related with an expanded danger of Bipolar Disorder, Schizophrenia, Coronary Heart Diseases, and Stroke. Thus, these four bipolar disorders must have some kind of genetic association between them. The objective of the present study was to investigate the association between genetic mutations in the four above listed diseases and to create a Protein-protein interaction (PPI) network or common path. In order to reach the destination, we need to find out about the genetic relationship between BD, SCH, CHD, ST, because it will help us understand the gene interconnections and the connections between them that help to develop the drug design for all the disease. Genes responsible for these diseases are gathered, pre-processed, processed and mining using python. This exploration is expected to carry out further measurements in the field of drug structure and also contributes to the biological and biomedical sector.