MAIN


©1996-2013 All Rights Reserved. Online Journal of Bioinformatics . You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the before mentioned, must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to OJB publications. This article may be copied once but may not be, reproduced or re-transmitted without the express permission of the editors. This journal satisfies the refereeing requirements (DEST) for the Higher Education Research Data Collection (Australia). Linking:To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.


OJBTM

Online Journal of Bioinformatics ©

Volume 14 (1): 96-103, 2013


In silico prediction of Staphylococcus aureus epitopes

 

Garima Bajetha, Anil Rai

 

Center of Agricultural Bioinformatics, Indian Agriculture Statistics Research Institute, Library Avenue, Pusa Campus New Delhi, India.

 

ABSTRACT

 

Bajetha G, Rai A., In silico prediction of Staphylococcus aureus epitopes, Onl J Bioinform, 14 (1): 96-103, 2013. Adhesion of Staphylococcus aureus to the extracellular matrix and plasma proteins on teat devices induces mastitis in milk cows. A computational method based on sequence, structure, QSAR, simulation and fold level analysis to predict potential antigenic B-cell epitope derived T-cell epitopes from 4 vaccine targets is described. Results suggest that T-epitopesIRKLGVGIA” from Immunoglobulin G-binding protein A, “IEFLEVVGL” from conserved virulence factor B, “IISLGALAVASS” from Staphylocoagulase and “LLVIRTKGTIA” from Alpha-Hemolysin were antigenic with a potential to interact with most common human HLA alleles such as DRB1*0101, and DRB1*0401. These epitopes may induce B- and T-cell mediated immune responses which could be validated In Vivo.

 

Key words: - Staphylococcus aureus, Epitope, Mastitis, vaccine designing, Immune response.


MAIN

 

FULL-TEXT(SUBSCRIPTION)