alexa Identification of Antigenic Determinants, Solvent Accessibility and MHC Binders of Antigen NADH Dehydrogenase Subunit 5 from a Little Dragon from Medina (Dracunculusmedinensis)
ISSN: 2169-0138

Drug Designing: Open Access
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Research Article

Identification of Antigenic Determinants, Solvent Accessibility and MHC Binders of Antigen NADH Dehydrogenase Subunit 5 from a Little Dragon from Medina (Dracunculusmedinensis)

Sonu Mishra* and Virendra S Gomase
Department of Biotechnology, MewarUniversity, Chittorgarh, India
*Corresponding Author : Sonu Mishra
Department of Biotechnology
MewarUniversity, Chittorgarh, India
Tel: 01471 220 881
E-mail: [email protected]
Received January 04, 2016; Accepted January 28, 2016; Published February 05, 2016
Citation: Mishra S, Gomase VS (2016) Identification of Antigenic Determinants, Solvent Accessibility and MHC Binders of Antigen NADH Dehydrogenase Subunit 5 from a Little Dragon from Medina (Dracunculus medinensis). Drug Des 5:126. doi:10.4172/2169-0138.1000126
Copyright: © 2016 Mishra S, 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

Dracunculiasis caused by the pathogen Dracunculus medinensis (a little dragon from Medina). The Cyclops is the intermediate host that ingests the larvae of parasite (D. medinensis), that later on ingested by the human from the contaminated stagnant unfiltered water from the water source. After an incubation period of a year these mature female worm comes towards the skin and start formation of a small round bulge on the skin by secreting an irritating chemical which causes severe pain. In this study we will summarize the potency of NADH dehydrogenase subunit 5 (mitochondrion) from Dracunculus medinensis with 527 amino acids. Antigenic peptide of NADHdehydrogenasesubunit5 protein is most suitable for subunit vaccine development because with single epitope, the immune response can be generated in large population. In this research, we used PSSM and SVM algorithms for the prediction of MHC class I and II binding peptide, antigenicity, Solvent accessibility, polar and nonpolar residue to analyse the regions that are likely exposed on the surface of proteins which are potentially antigenic that allows potential drug targets to identify active sites against infection as well as to design effective drug to treat it.

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