Title

Authors

Affiliation

¹Room No 4, Molecular Biophysics Unit (Annex Building), Indian Institute of Science, Bangalore, India-560012; ²Maharani Lakshmi Ammanni College for Women; ³Amrita Vishwa Vidyapeetham University, Kerala; ⁴Bangalore University, Bangalore

Email

Subho.mbu.iisc@gmail.com; *Corresponding author

Article Type

Hypothesis

Date

Received September 30, 2012; Accepted November 05, 2012; Published December 08, 2012

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. 

Keywords

Anti hyperglycaemic property, Protein-ligand interactions, Computer aided drug designing, Diabetic inhibitor, Pharmacokinetic parameters.

Abbreviations

AhG- Anti hyperglycaemic; CADD- Computer Aided Drug Designing.

Citation

Chatterjee et al.  Bioinformation 8(24): 1195-1201 (2012)
 

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.