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In Silico Single Nucleotide Polymorphism Analysis in Human Glutamate Dehydrogenase

Vivek Dhar Dwivedi, Usra Latief

Abstract


In the present study, various in silico analysis tools were used to analyze the structural and functional effect of non-synonymous or amino acid-changing single nucleotide polymorphisms (nsSNPs) in the human glutamate dehydrogenase (GDH) protein associated with HI/HA syndrome. Total 16 nsSNPs data were collected from various published literatures and analyzed to identify high-risk nsSNPs by evolutionary conservation analysis using ConSurf server. I-Mutant tool was used to examine whether these high-risk nsSNPs alter the structural stability of GDH protein. The results of I-Mutant revealed that each high-risk nsSNPs decreases the stability except N410 and S445 of GDH protein. In addition, ConSurf identified a number of other conserved residues and short patterns that may be structurally and functionally relevant. A 37 amino acid long conserved motif from 370 to 406 was also identified which contains 15 highly conserved and buried residues and 7 highly conserved and exposed residues. This study is very extensive in silico analysis of HI/HA syndrome associated mutations in the human GDH protein and will be a valuable contribution for the better understanding the effect of nsSNPs on structural stability of the human GDH.

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DOI: https://doi.org/10.37628/ijcbb.v2i2.107

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