Subscribe Now Subscribe Today
Science Alert
 
FOLLOW US:     Facebook     Twitter
Blue
   
Curve Top
International Journal of Virology
  Year: 2012 | Volume: 8 | Issue: 1 | Page No.: 121-127
DOI: 10.3923/ijv.2012.121.127
Application of Epitopes Prediction for Antibodies Production against Potato Leaf Roll Virus
M.B. Youssef, H.A. Nour El-Din, W.F. Abd EL-Wahed and A.A. Hemeida

Abstract:
Epitopes prediction plays a vital role in the development of antibodies production and immunodiagnostic tests. This paper is focused on building models for predicting linear B-cell epitopes based on Support Vector Machine (SVM) and subsequence string kernel. The obtained models were tested by 10 fold cross validation method. We applied the obtained models to potato Leaf Roll Virus (PLRV) as a case study using Epitopes Model Applier Software (EMAS) which was developed as an open source software and released under General Public License (GPL) to predict immunogenic peptides suitable for antibodies production. The thirty amino acids peptide which start from position 163 to position 192 got high score and match the previous laboratory studies which make it one of the best candidates to be immunogenic and capable of producing antibodies that cross react with PLRV. The peptide was chemically synthesized and injected into animal (mouse). The obtained antibodies were tested by using TAS-ELISA and Immuno dot-blot assay. The obtained antibodies were positively reacted against PLRV infected potato tissues.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    Biological, Serological and Molecular Diagnosis of Three Major Potato Viruses in Egypt
How to cite this article:

M.B. Youssef, H.A. Nour El-Din, W.F. Abd EL-Wahed and A.A. Hemeida, 2012. Application of Epitopes Prediction for Antibodies Production against Potato Leaf Roll Virus. International Journal of Virology, 8: 121-127.

DOI: 10.3923/ijv.2012.121.127

URL: https://scialert.net/abstract/?doi=ijv.2012.121.127

 
COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 
 

       

       

Curve Bottom