Journal: Journal of Pharmacy Research

Article Id: JPRS-BGSA-00002211
Title: Reverse vaccinology approach in search of potent epitopes of Yersinia pseudotuberculosis
Category: Bioinformatics (Genome & Sequence Analysis )
  • Abstract
  • Audio Abstract
  • Authors
  • Pdf File
  • Citation
  • My Reference
  • Methodology
  • Abstract

    Aim: Yersinia pseudotuberculosis is recognized as a human pathogen and still not been controlled with vaccine preparation. In the present study, an attempt has been made to report the conserved and best-scored cell surface antigen and their epitopes to be useful in vaccine preparation by involving reverse vaccinology approach. Materials and Methods: Proteome of the Y. pseudotuberculosis has been gathered from KEGG database. Further, all proteins considered as cell surface antigen were screened for localization using four web servers: TMHMM, SignalP, LipoP, and PSORTB. These proteins were then checked for conserved nature by involving basic local alignment search tool (BLASTP) with linked proteome belonged to genus Yersinia taken as a standard. After filtering the best and conserved proteins from BLASTP; proteins were searched for epitope by involving HLAPRED server and epitopes were also calculated for binding energy with concerned major histocompatibility complex molecule in T cell epitope designer server. Finally, promising epitopes were recorded as vaccine candidates. Result: In the study, of 3976 protein encoded by the Y. pseudotuberculosis only 16 proteins and their epitopes were considered as promising antigens and reported for further research. Conclusion: By involving reverse vaccinology approach now it is possible to filter number of cell surface antigen easily and to check them in vivo. Study successfully recorded 16 antigens with the epitopic region and those could be tested in vivo in a rat model to ascertain their success.

  • Abstract Audio

    No Audio file found

  • About the authors and Affiliations

    Author(s) Name:

    Manasi Pusadkar and Dilip Gore*

    Affiliation(s) Name:

    Department of Bioinformatics, Sai Biosystems Private Limited, Raghuji Nagar, Nagpur, Maharashtra, India

    *Corresponding author: Dilip Gore, Department of Bioinformatics, Sai Biosystems Private Limited, Raghuji Nagar, Nagpur - 440 009, Maharashtra, India.

  • View Article File in pdf format.

    Article File
  • View Article Citation Here.

    0 View More
  • How to Cite my Article.

    Author:

    Manasi Pusadkar and Dilip Gore*

    Title:Reverse vaccinology approach in search of potent epitopes of Yersinia pseudotuberculosis
    Journal:Journal of Pharmacy Research
    Vol(issue):12(5)
    Year:2018
    Page No: (780-787)
  • Experimental Methods Keywords

    Methodology:Reverse vaccinology approach
    Research Materials:Yersinia pseudotuberculosis

Keywords

Vaccine Reverse vaccinology Yersinia pseudotuberculosis Bioinformatics

Our Services

Most Downloaded List