alexa Prediction of Three Dimensional Model and Active Site Analysis of Inducible Serine Protease Inhibitor -2 (ISPI -2) in Galleria Mellonella | OMICS International | Abstract
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Research Article

Prediction of Three Dimensional Model and Active Site Analysis of Inducible Serine Protease Inhibitor -2 (ISPI -2) in Galleria Mellonella

S. Karthick Raja Namasivayam1* and J.Muthukumaran2*

1Department of Biotechnology, Sathyabama University, Chennai, India

2Centre for Bioinformatics, Pondicherry University, Pondicherry, India

*Corresponding Author:
Dr. S. Karthick Raja Namasivayam
Email  : [email protected]
Mr. J.Muthukumaran
Email  : [email protected]

Received Date: November 05, 2008; Accepted Date: November 19, 2008; Published Date: December 26, 2008

Citation: Karthick RNS, Muthukumaran J (2008) Prediction of Three Dimensional Model and Active Site Analysis of Inducible Serine Protease Inhibitor -2 (ISPI -2) in Galleria Mellonella. J Comput Sci Syst Biol 1:119-125. doi: 10.4172/jcsb.1000011

Copyright: © 2008 Karthick RNS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The present study undertaken to predict the three dimensional structure and active site analysis of inducible serine protease inhibitor -2(ISPI -2) known to inhibit the activity of entomopathogenic fungi Metarhizium anisopliae in Galleria mellonella a severe pest of most economic important crops. This inhibitor completely inactivates serine protease produced by M.anisopliae which acts as major virulent factor for G.mellonella and imparts natural immunity to the pest. Initially, the structural template for G.mellonella – ISPI-2 was identified from structural database using homology modeling or comparative modeling approach. Based on the knowledge of the template, a three-dimensional model was predicted and processed in to energy minimization, Ramachandran plot analysis, quality assessment and finally deposited into Protein Model Database. An active site of the theoretical model was analyzed and helpful to recognize the effective ligands.

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