Abstract

Shigellosis is characterized as diarrheal disease that causes a high mortality rate especially in children, elderly and immunocompromised patients. More recently, the World Health Organization advised safe vaccine designing against shigellosis due to the emergence of Shigella dysenteriae resistant strains. Therefore, the aim of this study is to identify novel drug targets as well as the design of the potential vaccine candidates and chimeric vaccine models against Shigella dysenteriae. A computational based Reverse Vaccinology along with subtractive genomics analysis is one of the robust approaches used for the prioritization of drug targets and vaccine candidates through direct screening of genome sequence assemblies. Herein, a successfully designed peptide-based novel highly antigenic chimeric vaccine candidate against Shigella dysenteriae sd197 strain is proposed. The study resulted in six epitopes from outer membrane WP_000188255.1 (Fe (3+) dicitrate transport protein FecA) that ultimately leads to the construction of twelve vaccine models. Moreover, V9 construct was found to be highly immunogenic, non-toxic, non-allergenic, highly antigenic, and most stable in terms of molecular docking and simulation studies against six HLAs and TLRS/MD complex. So far, this protein and multiepitope have never been characterized as vaccine targets against Shigella dysenteriae. The current study proposed that V9 could be a significant vaccine candidate against shigellosis and to ascertain that further experiments may be applied by the scientific community focused on shigellosis.

Details

Title
Identification of vaccine and drug targets in Shigella dysenteriae sd197 using reverse vaccinology approach
Author
Khurshid, Jalal 1 ; Abu-Izneid Tareq 2 ; Khan, Kanwal 3 ; Abbas, Muhammad 4 ; Ajmal, Hayat 4 ; Bawazeer Sami 5 ; Uddin Reaz 3 

 University of Karachi, H.E.J. Research Institute of Chemistry International Center for Chemical and Biological Sciences, Karachi, Pakistan (GRID:grid.266518.e) (ISNI:0000 0001 0219 3705) 
 Al Ain University Al Ain Campus, Pharmaceutical Sciences, College of Pharmacy, Al Ain, United Arab Emirates (GRID:grid.444473.4) (ISNI:0000 0004 1762 9411) 
 University of Karachi, Lab 103 PCMD Ext. Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, Karachi, Pakistan (GRID:grid.266518.e) (ISNI:0000 0001 0219 3705) 
 Abdul Wali Khan University Mardan KP, Department of Pharmacy, Mardan, Pakistan (GRID:grid.440522.5) (ISNI:0000 0004 0478 6450) 
 Umm Al-Qura University, Pharmacognosy Department, College of Pharmacy, Makkah, Saudi Arabia (GRID:grid.412832.e) (ISNI:0000 0000 9137 6644) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2619578538
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.