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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Sunday 13 October 2019

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COMPUTATIONAL SYNTHETIC PEPTIDE VACCINE DESIGNING AGAINST GASTROENTERITIS DISEASE THROUGH REVERSE VACCINOLOGY APPROACH


Volume 4, Issue 2, July 2014, Pages 84–90

 COMPUTATIONAL SYNTHETIC PEPTIDE VACCINE DESIGNING AGAINST GASTROENTERITIS DISEASE THROUGH REVERSE VACCINOLOGY APPROACH

Tammanna Bhajantri, Manas Ranjan Barik, and Allen John Henry

Original language: English

Received 24 April 2014

Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Aeromonas hydrophila subsp. Dhakensis a causative agent of gastroenteritis disease present in Diarrheal faeces. Computational research for peptide vaccine against aeromonal protein has been Published. In this study, the complete genome sequence of a virulent Aeromonas hydrophila strain was retrieved from genomic database. We screened the genome and identify the protein which was least similar to the human. Antigen determinant peptide was predicted with different databases and ASA calculation. Identified antigen was designed 3D model and simulation was performed in discovery studio from the docking study. We identify LATL determinant were the best peptide having CDocker energy 76.1367Kcal/mol. As this peptide was transmembrane protein it can be best potential vaccine.

Author Keywords: Peptide vaccine, Epitope design, Gastroenteritis, Docking, minimization and Reverse vaccinology.


How to Cite this Article


Tammanna Bhajantri, Manas Ranjan Barik, and Allen John Henry, “COMPUTATIONAL SYNTHETIC PEPTIDE VACCINE DESIGNING AGAINST GASTROENTERITIS DISEASE THROUGH REVERSE VACCINOLOGY APPROACH,” International Journal of Innovation and Scientific Research, vol. 4, no. 2, pp. 84–90, July 2014.