title: In silico expressed sequence tag analysis in identification of probable diabetic genes as virtual therapeutic targets.
abstract: 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.
authors.affiliation: Centre of Biotechnology, Siksha O Anusandhan University, Bhubaneswar, Odisha 751030, India.
authors.forename: Pabitra Mohan
authors.initials: PM
authors.lastname: Behera
authors.forename: Deepak Kumar
authors.initials: DK
authors.lastname: Behera
authors.forename: Aparajeya
authors.initials: A
authors.lastname: Panda
authors.forename: Anshuman
authors.initials: A
authors.lastname: Dixit
authors.forename: Payodhar
authors.initials: P
authors.lastname: Padhi
mesh_terms: D000595:Amino Acid Sequence; D020451:Contig Mapping; D030541:Databases, Genetic; D003924:Diabetes Mellitus, Type 2 / Q000235:genetics* / Q000628:therapy; D020224:Expressed Sequence Tags; D020869:Gene Expression Profiling; D015894:Genome, Human; D006801:Humans; D008958:Models, Molecular; D008969:Molecular Sequence Data; D005810:Multigene Family; D020641:Polymorphism, Single Nucleotide; D011487:Protein Conformation; D017386:Sequence Homology, Amino Acid