IN-SILICO BASED PREDICTION OF DELETERIOUS NON-SYNONYMOUS SINGLE NUCLEOTIDE POLYMORPHISMS IN THE HUMAN CDK1 GENE
- Indian Institute of Information Technology, Allahabad-211012, India.
- Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow-226010, India.
- } CSIR-National Botanical Research Institute, Lucknow-226001, India.
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Cyclin dependent kinase 1 (CDK1) is involved in regulation of cell cycle in eukaryotes. Polymorphism in this CDK1 have been associated with various cancers in human. Using structure, function and evolution based bioinformatics approaches, most damaging single nucleotide polymorphisms (SNPs) in CDK1 gene and their impact on the structure and function of CDK1 protein were predicted. Among the 23 non-synonymous SNPs (nsSNPs) retrieved from the Uniprot and Ensemble databases, 2 nsSNPs were concluded to be most deleterious SNPs after the prediction analysis of 6 computational tools namely SIFT, Polyphen-2, PROVEAN, mCSM, AlignGVGD and Mutation assessor. I136N and R275Q were predicted to be highly damaging and hence affecting the structure, function and stability of CDK1 protein, which were further cross-checked using I-Mutant and DUET tools. These SNPs can be further considered for wet lab validation.
[Shikha Suman, Gyan Prakash Tiwari, Ashutosh Mishra, and Anurag Kulshrestha. (2016); IN-SILICO BASED PREDICTION OF DELETERIOUS NON-SYNONYMOUS SINGLE NUCLEOTIDE POLYMORPHISMS IN THE HUMAN CDK1 GENE Int. J. of Adv. Res. 4 (Aug). 1360-1366] (ISSN 2320-5407). www.journalijar.com
