Literature DB >> 18573309

In silico analysis of structural and functional consequences in p16INK4A by deleterious nsSNPs associated CDKN2A gene in malignant melanoma.

R Rajasekaran1, C George Priya Doss, C Sudandiradoss, K Ramanathan, Rao Sethumadhavan.   

Abstract

In this study, we identified the most deleterious nsSNP in CDKN2A gene through structural and functional properties of its protein (p16INK4A) and investigated its binding affinity with cdk6. Out of 118 SNPs, 14 are nsSNPs in the coding region and 17 SNPs were found in the untranslated region (UTR). FastSNP suggested that 7 SNPs in the 5' UTR might change the protein expression levels. Sixty-four percent of nsSNPs are found to be damaged in PolyPhen server among the 14 nsSNPs investigated. With this effort, we modeled the mutant p16INK4A proteins based on these deleterious nsSNPs, out of which three nsSNPs associated p16INK4A had RMSD values of greater than 3.00 A with native protein. From a comparison of total energy of these three mutant proteins, we identified that the major mutation is from Aspartic acid to Tyrosine at the residue position of 84 of p16INK4A. Further, we compared the binding efficiency of both native and mutant p16INK4A with cdk6. We found that mutant p16INK4A has less binding affinity with cdk6 compared to native type. This is due to ten hydrogen bonds and eight salt bridges which exist between the native type and cdk6, whereas the mutant type makes only nine hydrogen bonds and five salt bridges with cdk6. Based on our investigation, we propose that the SNP with the ID rs11552822 could be the most deleterious nsSNP in CDKN2A gene, causing malignant melanoma, as it was well correlated with experimental studies carried out elsewhere.

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Year:  2008        PMID: 18573309     DOI: 10.1016/j.biochi.2008.05.017

Source DB:  PubMed          Journal:  Biochimie        ISSN: 0300-9084            Impact factor:   4.079


  4 in total

1.  In Silico Analysis of SNPs in PARK2 and PINK1 Genes That Potentially Cause Autosomal Recessive Parkinson Disease.

Authors:  Yousuf Hasan Yousuf Bakhit; Mohamed Osama Mirghani Ibrahim; Mutaz Amin; Yousra Abdelazim Mirghani; Mohamed Ahmed Salih Hassan
Journal:  Adv Bioinformatics       Date:  2016-12-29

2.  Genotyping and In Silico Analysis of Delmarva (DMV/1639) Infectious Bronchitis Virus (IBV) Spike 1 (S1) Glycoprotein.

Authors:  Ahmed Ali; Davor Ojkic; Esraa A Elshafiee; Salama Shany; Mounir Mohamed El-Safty; Adel A Shalaby; Mohamed Faizal Abdul-Careem
Journal:  Genes (Basel)       Date:  2022-09-09       Impact factor: 4.141

3.  Lack of correlation between in silico projection of function and quantitative real-time PCR-determined gene expression levels in colon tissue.

Authors:  Rosalind B Penney; Abbie Lundgreen; Aiwei Yao-Borengasser; Vineetha Koroth-Edavana; Suzanne Williams; Roger Wolff; Martha L Slattery; Susan Kadlubar
Journal:  Pharmgenomics Pers Med       Date:  2013-09-09

4.  Predicting the most deleterious missense nsSNPs of the protein isoforms of the human HLA-G gene and in silico evaluation of their structural and functional consequences.

Authors:  Elaheh Emadi; Fatemeh Akhoundi; Seyed Mehdi Kalantar; Modjtaba Emadi-Baygi
Journal:  BMC Genet       Date:  2020-08-31       Impact factor: 2.797

  4 in total

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