Anti hyperglycaemic study of natural inhibitors for Insulin receptor
Authors
Subhojyoti Chatterjee
Room No 4, Molecular Biophysics Unit (Annex Building), Indian Institute of Science, Bangalore, India-560012
Akshaya Narasimhaiah
Maharani Lakshmi Ammanni College for Women
Sanjay Kundu
Amrita Vishwa Vidyapeetham University, Kerala
Santosh Anand
Bangalore University, Bangalore
Keywords:
Anti hyperglycaemic property, Protein-ligand interactions, Computer aided drug designing, Diabetic inhibitor, Pharmacokinetic parameters
Abstract
Diabetes is a metabolic disorder associated with either improper functioning of the beta-cells or wherein cells fail to use insulin properly. Insulin, the principal hormone regulates uptake of glucose from the blood into most of the cells except central nervous system. Therefore, deficiency of insulin or the insensitivity of its receptors plays a key role in all forms of diabetes. In the present work, attempt has been made to find out plant sources which show anti hyperglycaemic activity (AhG) (i.e. compounds that bring down the blood glucose level in the body). Ayurvedic plants showing AhG activity formed the basis of our study by using the platform of Computer Aided Drug Designing (CADD). Among 600 plants showing AhG activity, 500 compounds were selected and screened, out of which 243 compounds showed drug likeness property that can be used as therapeutic ligand/drug. Initial screening of such compounds was done based on their drug likeness or biochemical properties. Dynamic interaction of these molecules was captured through Protein-Ligand study. It also gave an insight of the binding pockets involved. Bench marking of all the parameters were done using the diabetic inhibitor drug, Glipizide. Pharmacokinetic studies of the compounds such as Aloins, Capparisine, Funiculosin and Rhein exhibited less toxicity on various levels of the body. As a conclusion these ligands can lay a foundation for a better anti-diabetic therapy.
Abbreviations
AhG - Anti hyperglycaemic, CADD - Computer Aided Drug Designing.
Keywords: Anti hyperglycaemic property, Protein-ligand interactions, Computer aided drug designing, Diabetic inhibitor, Pharmacokinetic parameters
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