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

dc.contributor.authorShadhin, Khairul Alam
dc.contributor.authorHasan, Md. Rakibul
dc.contributor.authorPaul, Bikash Kumar
dc.contributor.authorAhmed, Kawsar
dc.contributor.authorBhuyian, Touhid
dc.date.accessioned2022-01-08T08:39:56Z
dc.date.available2022-01-08T08:39:56Z
dc.date.issued2020
dc.description.abstractWith 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6688
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6688
dc.language.isoen_US
dc.publisherCellular and molecular biology
dc.sourceDIU Institutional Repository
dc.subjectBioinformatics
dc.subjectBipolar disorders
dc.subjectSchizophrenia
dc.subjectCoronary Heart Diseases
dc.subjectStroke
dc.subjectGenetic Association
dc.subjectPPI network
dc.subjectClustering
dc.titleAnalysis of Topological Properties and Drug Discovery for Bipolar Disorder and Associated Diseases
dc.title.alternativeA Bioinformatics Approach
dc.typeArticle

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