Analysis of topological properties and drug discovery for bipolar disorder and associated diseases: A bioinformatics approach


Khairul Alam Shadhin, Md. Rakibul Hasan, Bikash Kumar Paul, Kawsar Ahmed, Mohammad Ali Moni, Danial Kahrizi, Touhid Bhuyian, Sobhy M. Ibrahim

Abstract


With the advancement and development of sophisticated bioinformatics tools, the area of computational bioinformatics and systems biology analysis is expanding day by day. The 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. 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 pathways. Firstly, we need to find out the genetic relationship between them. Thus it will help us to understand the genetic association between them and help to develop the drug design for all the diseases. Genes responsible for these diseases are gathered, pre-processed, processed and mining using python scripts. This exploration is expected to carry out further measurements in the field of drug structure and also contributes to the biological and biomedical sectors.

Keywords


Bioinformatics; Bipolar Disorders; Schizophrenia; Coronary Heart Diseases; Stroke; Genetic Association; PPI network; Clustering; Gene Regulatory network; PDI network; PCI network