Title of article :
Epitope Identification in BEFV Gene for Detecting Effective Points
Author/Authors :
Molazadeh ، Shima Department of Pathobiology - Islamic Azad University, Science and Research Branch , Keivanfar ، Hadi Department of Pathobiology - Islamic Azad University, Science and Research Branch , Bakhshesh ، Mehran Department of Animal Virology - Razi Vaccine and Serum Research Institute - Agricultural Research, Education and Organization (AREEO) , Nikbakht Brujeni ، Gholamreza Department of Microbiology and Immunology - Faculty of Veterinary Medicine - University of Tehran
Abstract :
Background Objective: The most common cause of milk production loss in cattle and water buffalo is bovine ephemeral fever (BEF). Previous cases have been reported in Iran #39;s south regions, with a low mortality rate. As a result, studying BEFV and identifying ideal epitopes for further developing diagnostic paths is important. Materials Methods: To investigate BEFV N protein epitopes, we collected samples, extracted and sequenced DNA, and then used the ExPaSy translate method to deduce the amino acid sequence. Various immunoinformatics techniques were used to analyze physical/chemical properties, secondary structure of protein sequences, membrane topology, antigenic property, and 3D structure. BCPRED and the DiscoTope server, respectively, predicted linear and discontinuous epitopes of BEFV N protein. Finally, the PatchDock server was used to dock peptides and antibodies. Result: Three linear epitopes and sixteen discontinuous epitopic positions were discovered. Furthermore, molecular docking between epitopes and low-bindin-genergy antibodies revealed that they have easy access to the immune system. Conclusion: In this study, bioinformatics techniques were used to predict epitopes of the BEFV N protein for further developing BEFV diagnostic paths. Furthermore, experimental validation is needed for these epitopes.
Keywords :
Epitopes , Immunoinformatics , Docking
Journal title :
Journal of Advanced Biomedical Sciences (JABS)
Journal title :
Journal of Advanced Biomedical Sciences (JABS)