Bioinformatic Analysis and Identification of Epitopic Regions of Newcastle Disease Virus F Protein

Barkhordari, Maryam; Bagheri, Masoumeh; Khani, Mohammad-Hosein; Zahmatkesh, Azadeh

Bioinformatic Analysis and Identification of Epitopic Regions of Newcastle Disease Virus F Protein

Document Type : Analytic Review

Authors

Maryam Barkhordari ¹

Masoumeh Bagheri ²

Mohammad-Hosein Khani ³

Azadeh Zahmatkesh ²

¹ Razi Vaccine and Research Institute

² Razi Vaccine and Serum Research Institute

³ Department of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University

Abstract

Newcastle disease virus (NDV) causes one of the most dangerous infections in birds. High economic losses and high mortality are outcomes of this virus, which does not have any immediate cure. The natural reservoir of this virus can remain among bird and non-bird animals like farm animals. In Iran, this virus has reached a steady situation. Also, it should be mentioned that migrating birds can transfer the virus. The F protein of the virus is essential in pathogenicity and determination of pathogenic strain of NDVs, which has the regions that are essential in pathogenicity, immunogenicity, cell fusibility, and tissue necrosis. In this study, with computational analysis of this protein, some features related to this protein such as protein cleavage site, the conserved region in immunogenicity, infected species in Middle Eastern countries, and physicochemical properties of protein were determined. Results showed that the F protein of NDV consists of highly conserved regions that show a high rate of similarity and identity. Despite the majority of strains characterized as pathogenic, there were still non-pathogenic strains circulating in the Middle East. In this comprehensive study, protein regions essential in immunogenicity and epitope formation were identified, which may be used in the development of recombinant vaccines against this virus.

Keywords

Newcastle disease virus

F protein

Bioinformatics study

Pathogenicity

Subjects

Bioinformatics

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