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Identification of highly conserved regions in L-segment of Crimean–Congo hemorrhagic fever virus and immunoinformatic prediction about potential novel vaccine

Authors Oany AR, Ahmad SAI, Hossain MU, Jyoti TP

Received 1 October 2014

Accepted for publication 5 December 2014

Published 8 January 2015 Volume 2015:8 Pages 1—10


Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 4

Editor who approved publication: Dr Juan Fernandez-Recio

Arafat Rahman Oany,1 Shah Adil Ishtiyaq Ahmad,1 Mohammad Uzzal Hossain,1 Tahmina Pervin Jyoti2

1Department of Biotechnology and Genetic Engineering, Faculty of Life Science, Mawlana Bhashani Science and Technology University, Santosh, Tangail, Bangladesh; 2Biotechnology and Genetic Engineering Discipline, Life Science School, Khulna University, Khulna, Bangladesh

Abstract: Crimean–Congo hemorrhagic fever (CCHF) is a tick-borne zoonotic viral disease with a disease fatality rate between 15% and 70%. Despite the wide range of distribution, the virus (CCHFV) is basically endemic in Africa, Asia, eastern Europe, and the Middle East. Acute febrile illness associated with petechiae, disseminated intravascular coagulation, and multiple-organ failure are the main symptoms of the disease. With all these fatal effects, CCHFV is considered a huge threat as no successful therapeutic approach is currently available for the treatment of this disease. In the present study, we have used the immunoinformatics approach to design a potential epitope-based vaccine against the RNA-dependent RNA polymerase-L of CCHFV. Both the T-cell and B-cell epitopes were assessed, and the epitope “DCSSTPPDR” was found to be the most potential one, with 100% conservancy among all the strains of CCHFV. The epitope was also found to interact with both type I and II major histocompatibility complex molecules and is considered nonallergenic as well. In vivo study of our proposed peptide is advised for novel universal vaccine production, which might be an effective path to prevent CCHF disease.

Keywords: single-stranded RNA, immunoinformatics, RNA-dependent RNA polymerase, epitope

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