In Silico Expressed Sequence Tag Analysis in Identification of Probable Diabetic Genes as Virtual Therapeutic Targets
Joint Authors
Behera, Deepak Kumar
Padhi, Payodhar
Panda, Aparajeya
Behera, Pabitra Mohan
Dixit, Anshuman
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-11
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The expressed sequence tags (ESTs) are major entities for gene discovery, molecular transcripts, and single nucleotide polymorphism (SNPs) analysis as well as functional annotation of putative gene products.
In our quest for identification of novel diabetic genes as virtual targets for type II diabetes, we searched various publicly available databases and found 7 reported genes.
The in silico EST analysis of these reported genes produced 6 consensus contigs which illustrated some good matches to a number of chromosomes of the human genome.
Again the conceptual translation of these contigs produced 3 protein sequences.
The functional and structural annotations of these proteins revealed some important features which may lead to the discovery of novel therapeutic targets for the treatment of diabetes.
American Psychological Association (APA)
Behera, Pabitra Mohan& Behera, Deepak Kumar& Panda, Aparajeya& Dixit, Anshuman& Padhi, Payodhar. 2013. In Silico Expressed Sequence Tag Analysis in Identification of Probable Diabetic Genes as Virtual Therapeutic Targets. BioMed Research International،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1030817
Modern Language Association (MLA)
Behera, Pabitra Mohan…[et al.]. In Silico Expressed Sequence Tag Analysis in Identification of Probable Diabetic Genes as Virtual Therapeutic Targets. BioMed Research International No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1030817
American Medical Association (AMA)
Behera, Pabitra Mohan& Behera, Deepak Kumar& Panda, Aparajeya& Dixit, Anshuman& Padhi, Payodhar. In Silico Expressed Sequence Tag Analysis in Identification of Probable Diabetic Genes as Virtual Therapeutic Targets. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1030817
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1030817