Drug design and analysis for bipolar disorder and associated diseases: A bioinformatics approach

Bioinformatics deals with biological data and analyzes or processes the data using computer science techniques. With the appearance of modern bioinformatics tools, it is now possible to design a drug using these high technologies and open a new area of drug design and development. This research pred...

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Bibliographic Details
Published inNetwork biology Vol. 7; no. 2; pp. 41 - 56
Main Author Habib, Nahida
Format Journal Article
LanguageEnglish
Published Hong Kong International Academy of Ecology and Environmental Sciences (IAEES) 01.06.2017
International Academy of Ecology and Environmental Sciences
Subjects
Bioinformatics
Bipolar disorder
Cardiovascular diseases
Computer programs
Coronary artery disease
coronary heart diseases
Data processing
Design analysis
drug design
Drug development
Genes
Heart diseases
Mental disorders
PPI Network
Protein interaction
Proteins
Schizophrenia
Stroke
Transcription
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Summary:Bioinformatics deals with biological data and analyzes or processes the data using computer science techniques. With the appearance of modern bioinformatics tools, it is now possible to design a drug using these high technologies and open a new area of drug design and development. This research predicts to design a common drug for four associated mental disorders that include bipolar disorder, schizophrenia, coronary heart diseases and stroke. The key to drug design is a biomolecule or protein. To show the protein interactions and evolutions, a protein-protein interaction network is created among the common genes of the four diseases. The genes corresponding to each disease are collected from NCBI gene database. These genes are preprocessed, mined and verified to find the common genes among the diseases. After getting common genes (7 genes), PPI network is created with them. Then a common drug is designed that will work on four investigated diseases. This structure based drug design research will open a new era to discover and develop new drug compounds using different bioinformatics tools.
ISSN:2220-8879
2220-8879
DOI:10.0000/issn-2220-8879-networkbiology-2017-v7-0005