%0 Journal Article %A Molazadeh, Shima %A Keivanfar, Hadi %A Bakhshesh, Mehran %A Nikbakht Brujeni, Gholamreza %T Epitope Identification in BEFV Gene for Detecting Effective Points %J Journal of Advanced Biomedical Sciences %V 12 %N 1 %U http://jabs.fums.ac.ir/article-1-2681-en.html %R 10.18502/jabs.v12i1.8875 %D 2022 %K Epitopes, Immunoinformatics, Docking, %X 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'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-binding-energy 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. %> http://jabs.fums.ac.ir/article-1-2681-en.pdf %P 79-87 %& 79 %! Epitope Identification %9 Research %L A-10-2968-1 %+ Department of Pathobiology, Science and Research Branch, Islamic Azad University, Tehran, Iran %G eng %@ 2228-5105 %[ 2022