In silico analysis for evaluating the deleterious nonsynonymous single nucleotide polymorphisms of UBE2C gene

In silico analysis for evaluating the deleterious nonsynonymous single nucleotide polymorphisms of UBE2C gene
Author(s):
Kaishiv joshi, Simranjeet Kaur, Samonee Ralmilay, Dr. Rajinder Kaur
Keywords:
nsSNP, PhD-SNP, PolyPhen-2, PROVEAN, SIFT, UBE2C.
Abstract
UBE2C encodes a member of E2 ubiquitin conjugating enzyme family involved in Ubiquitination one of the main post-translational modification of proteins. UBE2C is also a key regulator of cell cycle progression and its altered expression is implicated in various malignancies. Now a days UBE2C mutation is studied frequently in number of cancers but before planning large population study, it is better to scrutinize putative functional SNPs of UBE2C gene and its functional partners by using different computational tools. In this study, we have used various computational approaches including PROVEAN, PolyPhen-2, and i-Mutant2.0 tools to identify deleterious SNPs of UBE2C protein and also studied its protein network using STRING database. The present study concluded that 13 nsSNPs: W165R, W62C, P86H, P90A, G111D, L115P, T100M, N106S, K80N, Q136R, L59F, I131M and V107M which were predicted to be highly deleterious and functionally significant nsSNPs in human UBE2C gene.
Article Details
Unique Paper ID: 150998 Publication Volume & Issue: Volume 7, Issue 11 Page(s): 355 - 363
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