In-Silico Analysis of Different Plant Protein and their Essential Compound with Sulfonylurea binding protein of β-Cells of Homo sapiens for curing Diabetes Mellitus Type II disease

摘要

Normal 0 Diabetes (type-2) is a chronic disorder affecting millions people all over the world. The disease is associated with long-term dysfunction, damage, and failure of various organs thus, affects almost every physiological system of the body. The chronic insulin resistance, progressive decline in β-cell function or increased rate of cell death results decreased insulin production and finally leads the disease. The sulfonylurea is known to regulate blood glucose homeostasis but have a characteristic profile of side effects. Some medicinal plant have showed hypoglycemic activities but the exact mechanism of action of these drugs at cellular level is yet not known and thus no better formulation of indigenous medicine could be developed till date for the treatment of type-2 diabetes. Therefore, the present study has been done to investigate the effect of the indigenous drugs, in-silico on the diabetic receptor, with a view to observe their effect on β-cell which could be helpful for the development of better formulation for the treatment of diabetes. Now days most of the drugs used in the treatment of type-2 diabetes either target the sulfonylurea receptor stimulating insulin release. Targeting of sulfonylurea may provide an important help for the development of drugs against type-2 diabetes. However, absence of tertiary structure of sulfonylurea limits the possibilities of structure based drug designing. In the present work we have explore the 3D structure of sulfonylurea receptor using homology approach. Based on the active sites we have screened the essential compound of Indigenous plants as a inhibitor as well as plant protein against modelled protein using iGEMDock 2.1 and Hex6.0 Cuda softwares. The Lead compound of plant as well as plant protein molecule would be scaled out on the basis of binding efficiency, starting from higher to lower and given the preference compare with the other one.