Title

Authors

Affiliation

Gene Regulation Laboratory, School of Biotechnology, Jawaharlal Nehru University, New Delhi - 110067, India

Email

adixit7@gmail.com; *Corresponding author

Article Type

Hypothesis

Date

Received August 08, 2013; Accepted August 09, 2013; Published August 28, 2013

Momordica charantia is a well known medicinal plant used in the traditional medicinal system for the treatment of various diseases including diabetes mellitus. Recently, a novel protein termed as ADMc1 from the seed extract of M. charantia has been identified and isolated showing significant antihyperglycemic activity in type 1 diabetic rats in which diabetes was induced. However, the structure of this protein has not yet been analyzed. Homology modeling approach was used to generate a high quality of protein 3D structure for the amino acid sequence of the ADMc1 protein in this study. The comparative assessment of secondary structures revealed ADMc1 as an all-alpha helix protein with random coils. Tertiary structure predicted on the template structure of Napin of B. Napus (PDB ID: 1SM7) with which the ADMc1 showed significant sequence similarity, was validated using protein structure validation tools like PROCHECK, WHAT_CHECK VERIFY3D and ProSA. Arrangement of disulfide bridges formed by cysteine residues were predicted by the Dianna 1.1 server. The presence of multiple disulfide bond confers the stable nature of the ADMc1 protein. Further, the biological activity of the ADMc1 was assessed in non-obese diabetic (NOD) mice which are spontaneous model of type 1 diabetes. Significant reduction in the blood glucose levels of NOD mice was observed up to 8 h post administration of the rADMc1 protein. Overall, the structural characterizations with antihyperglycemic activity of this seed protein of Momordica charantia demonstrate its potential as an anti-diabetic agent.

Keywords

Momordica charantia, homology modeling, structure validation

Citation

Chhabra & Dixit,   Bioinformation 9(15): 766-770 (2013)

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.