World Journal of
Pharmaceutical and Life Sciences

An International Peer Reviewed Journal for Pharmaceutical and Life Sciences
An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)
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Abstract

STRUCTURE PREDICTION TO ANALYSE GENETIC ALTERATION IMPLEMENTING Q MEAN VARIATION ANALYSIS AND PHYLOGENETIC TREE CONSTRUCTION IN PREDIABETIC AND DIABETIC SUBJECT

*Talib Yusuf A., Talib S. H. and Sanjay Harke

ABSTRACT

Diabetes is metabolic disorder occurs when pancreas fail to produce enough insulin and when the body cannot use the insulin it produces. The classic sign and symptoms includes polyuria (frequent urination), they will become increasingly thirsty (polydipsia) and hungry (polyphagia), unexplained weight loss when appetite is good, or it may remain asymptomatic. It is classified into two basic form type I and type II diabetes. Complications of diabetes include neuropathy, nephropathy, and retinopathy may develop prediabetic and Diabetes stages of disease or many years after onset of diabetes mellitus. In type I diabetes there is islet cell destruction; absolute insulin deficiency, ketosis in absence of insulin, in type II diabetes having insulin resistance and relative insulin decrease, no HLA (human Leukocyte antigen) association. When hyperglycaemic when doesn’t satisfy the diagnostic criteria for Diabetes mellitus is generally called prediabetic. Diabetes Mellitus is diagnosed when either HbA1c > 6.5, fasting glc > 126 mg/dl, or glc 2 hour after OGTT > 200 mg/dl or single random glc > 200 mg/dl. Nearly 45% of all diabetics have peripheral vascular disease may develop macro and / or micro vascular. Thus prediabetic and diabetes mellitus are said to be complex entities caused by complex interplay between genetic and epigenetic and environmental factors. The identification of genetic factor possible now with NGS (next generation sequencing) and GWAs (Genome Wide Associations). Broadly speaking genetic alteration comprises by SNP’s, Pseudogenes inaccurate duplication and mutations. In this study an attempt is made to evaluate the Quality Score in the samples of prediabetic (PDS), Diabetic (DS) compared with Healthy (HS) utilising NCBI BLAST (Basic Local Alignment Search Tool), PDB (Protein Databank), ExPASy (Expert Protein Assessment/Analysis System) and metabolic pathway analysis by KEGG and KAAS Server.

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