title: Computational Analysis of Damaging Single-Nucleotide Polymorphisms and Their Structural and Functional Impact on the Insulin Receptor.
abstract: Single-nucleotide polymorphisms (SNPs) associated with complex disorders can create, destroy, or modify protein coding sites. Single amino acid substitutions in the insulin receptor (INSR) are the most common forms of genetic variations that account for various diseases like Donohue syndrome or Leprechaunism, Rabson-Mendenhall syndrome, and type A insulin resistance. We analyzed the deleterious nonsynonymous SNPs (nsSNPs) inINSRgene based on different computational methods. Analysis of INSR was initiated with PROVEAN followed by PolyPhen and I-Mutant servers to investigate the effects of 57 nsSNPs retrieved from database of SNP (dbSNP). A total of 18 mutations that were found to exert damaging effects on the INSR protein structure and function were chosen for further analysis. Among these mutations, our computational analysis suggested that 13 nsSNPs decreased protein stability and might have resulted in loss of function. Therefore, the probability of their involvement in disease predisposition increases. In the lack of adequate prior reports on the possible deleterious effects of nsSNPs, we have systematically analyzed and characterized the functional variants in coding region that can alter the expression and function ofINSRgene.In silicocharacterization of nsSNPs affectingINSRgene function can aid in better understanding of genetic differences in disease susceptibility.
authors.affiliation: Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
authors.forename: Zabed
authors.initials: Z
authors.lastname: Mahmud
authors.affiliation: Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh; Department of Biochemistry, North East Medical College Hospital, South Surma, Sylhet 3100, Bangladesh.
authors.forename: Syeda Umme Fahmida
authors.initials: SU
authors.lastname: Malik
authors.affiliation: Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
authors.forename: Jahed
authors.initials: J
authors.lastname: Ahmed
authors.affiliation: Department of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
authors.forename: Abul Kalam
authors.identifier: 0000-0003-1918-3268
authors.initials: AK
authors.lastname: Azad
mesh_terms: D019943:Amino Acid Substitution / Q000235:genetics; D019295:Computational Biology; D056731:Donohue Syndrome / Q000235:genetics* / Q000473:pathology; D006801:Humans; D007333:Insulin Resistance / Q000235:genetics*; D009154:Mutation; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D011487:Protein Conformation; D011972:Receptor, Insulin / Q000737:chemistry* / Q000235:genetics
chemical_list: D011972:Receptor, Insulin