IN SILICO ANALYSIS OF NON-SYNONYMOUS SINGLE NUCLEOTIDE POLYMORPHISMS ASSOCIATED WITH FLT3 GENE
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Keywords
Flt3, Cancer, Leukemia, Sift, Condel, Snap2, Snp&Go, Provean, Panther, Phd_Snp, Polyphen2, Cadd, Cupsat, Mupro, I-Mutant
Abstract
SNPs play a vital and important role in the genetics and phenotype changes in humans. It is a genetic reason of complicated, critical and lethal diseases. In silico is referring to mass use of silicon. It is an expression which means performed on computer or via computer simulation. FMS like Tyrosine Kinase 3 or Fatal Liver Kinase 2 is a protein that in humans is encoded by the FLT3 gene. It has become significant to extract the facts how the functionality and molecular dynamic behavior of SNPs may affect genetic behavior of FLT3 gene. Emphasis is made in investigating pathogenic effects of nsSNPs in FLT3 gene using computational tools. A total of 638 missense SNPs were extracted from dbSNP of NCBI. These 638 missense SNPs were further processed through different layers and a final list of 9 most deleterious SNPs reported by almost every tool were identified.
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Salheen Bakhet
Computer Science Department, University of Engineering & Technology, Lahore, Pakistan.
Dr. Muhammad Shoaib
Computer Science Department, University of Engineering & Technology, Lahore, Pakistan
Taliah Tajammal
Computer Science Department, University of Engineering & Technology, Lahore, Pakistan.
Dr. Iram Aziz
School of Biological Sciences, University of the Punjab, Lahore, Punjab