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<p>Network Driven Discovery of Dopamine, Serotonin and Glutamate Receptors as Key Players in Schizophrenia</p>

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Title Statement <p>Network Driven Discovery of Dopamine, Serotonin and Glutamate Receptors as Key Players in Schizophrenia</p>
 
Added Entry - Uncontrolled Name Martha, Sushma Rani; Department of Bioinformatics, Odisha University of Agriculture and Technology, Bhubaneswar, India
Patri, Manorama ; Neurobiology Laboratory, Department of Zoology, School of Life Sciences, Ravenshaw University Cuttack, India
 
Uncontrolled Index Term Schizophrenia; Dopamine receptor; Serotonin receptor; Glutamate receptor; G protein coupled receptor; Network analysis
 
Summary, etc. <p>In the past, it was comparatively easier to mine and discover the key player genes and proteins associated with a particular disorder through literature survey. But in recent years the scientific research has attained its greatest pace resulting in the deposition of enormous molecular data over World Wide Web. Therefore, it is necessary to adopt specialized data mining methodologies and employ appropriate tools to reduce the ambiguous use of resources. In the present study, an attempt has been made to discover the most important genes and proteins involved in the Schizophrenia from all that have been reported till date by computing Average Normalized Database (AvNrD) scores of the genes. During the process, Dopamine receptor2 (DRD2), Serotonin receptor 2A (HTR2A) and Glutamate receptor 3 (GRM3) are found to be the most important proteins with significantly high AvNrD scores of 9.436725, 7.121672 and 7.709488 respectively out of 1229 genes which are likely to be associated with Schizophrenia. Analysis of the filtered gene set reveals that most of the proteins possess specific G Protein Coupled Receptor (GPCR) signature sequences. DRD and HTR proteins consist of a long Intracellular 3 (IC3) region and GLU proteins consist of an extra N-terminal Extracellular (EC) domain.</p>
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2020-07-29 12:49:53
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/38379
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 79, ##issue.no## 05
 
Language Note en