Literature DB >> 24293156

Structure-function studies on non-synonymous SNPs of chemokine receptor gene implicated in cardiovascular disease: a computational approach.

A Sai Ramesh1, Rao Sethumadhavan, Padma Thiagarajan.   

Abstract

Among non-communicable diseases, cardiovascular disease (CVD) is claimed to be the leading cause of death worldwide. The chemokine (C-C Motif) receptor 5 (CCR5) gene has a strong association with the development of CVD and may culminate in myocardial infarction. In this study, its potential variations have been determined using molecular dynamics approach. Single nucleotide polymorphisms (SNPs) are the predominant mutations and their deleterious effects were initially screened using prediction tools. Further, for the 75 % of deleterious non-synonymous SNPs predicted in common by the above tools, root mean square deviation (RMSD) and stability residues were determined using SWISS-PDB viewer and SRide server respectively. Accordingly, four point mutations L55Q, V131F, R223W, and G301R which had RMSD ≥2.0 Å were selected and trajectory analyses were performed. In common, all trajectory analyses reported no similarities between native and mutants. Combined mutational analysis comparing all the mutants together with the native also showed significant and similar changes. Thus we conclude that the above four mutations are the potential targets of CCR5 and may lead to CVD.

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Year:  2013        PMID: 24293156     DOI: 10.1007/s10930-013-9529-7

Source DB:  PubMed          Journal:  Protein J        ISSN: 1572-3887            Impact factor:   2.371


  47 in total

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Journal:  Nucleic Acids Res       Date:  2002-09-01       Impact factor: 16.971

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Review 8.  Genetics and gene manipulation therapy of premature coronary artery disease.

Authors:  Rabih A Chaer; Rana Billeh; Malek G Massad
Journal:  Cardiology       Date:  2004       Impact factor: 1.869

9.  Analyzing effects of naturally occurring missense mutations.

Authors:  Zhe Zhang; Maria A Miteva; Lin Wang; Emil Alexov
Journal:  Comput Math Methods Med       Date:  2012-04-22       Impact factor: 2.238

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Authors:  Florian Kiefer; Konstantin Arnold; Michael Künzli; Lorenza Bordoli; Torsten Schwede
Journal:  Nucleic Acids Res       Date:  2008-10-18       Impact factor: 16.971

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  1 in total

1.  Prediction of a highly deleterious mutation E17K in AKT-1 gene: An in silico approach.

Authors:  Imran Khan; Irfan A Ansari
Journal:  Biochem Biophys Rep       Date:  2017-04-21
  1 in total

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