الفهرس 
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Abstract
ABSTRACT
Brucellosis is an important zoonotic disease caused by the facultative intracellular Brucella pathogen. At the genomic level in this study, eight (8) B. abortus were annotated and eighteen (18) B. melitensis strains from Egypt compared them with RB51 and REV1vaccines respectively. Then whole genome phylogeny at the level of Egypt that revealed; all B. abortus strains were related to vaccinated animals and all B. melitensis strains of Menoufia clustered together and closely related to Gharbia, Dameitta and Kafr Elshiek, and at Menoufia governorate specially. Moreover, we predicted and submitted thirty genes at GenBank (24 in B. abortus with accession numbers LC742715, LC743623, LC743839, LC743840, LC743841, LC743842, LC743474, LC743475, LC743476, LC743477, LC743478, LC743479, LC743480, LC743481, LC743482, LC743483, LC743484, LC743485, LC743486, LC743487, LC743488, LC743489, LC743491 and LC743492 and 6 in B. melitensis with accession numbers LC742716, LC743471, LC743472, LC743473, LC743493 and LC744194). At the proteomic level, we performed protein modeling for three target proteins (BvrR, OMP25 and OMP31) using different servers according to CASP15. Alphafold and I-TASSER servers were ranked as the best server for full-length 3D protein structural predictions of the three target proteins where the benchmarked scoring systems such as C-score, TM-score, RMSD and Z-score were used to obtain quantitative assessments of the models. Scanning protein motif databases, along with secondary and surface accessibility predictions integrated with post-translational modification sites (PTMs) prediction revealed functional and protein binding motifs. Two, five and five protein binding motifs and seven, six and eight PTMs were predicted for BvrR, OMP25 and OMP31proteins respectively. Furthermore, conducted epitope prediction revealed that (5, 3 and 5), (6, 5 and 6) and (5, 5 and 4) dominant B cell, CTL and THL epitopes for the three target proteins respectively. Additionally, structure-based virtual screening of Zinc and DrugBank databases using the docking MOE program and the post-docking analysis of energy calculations and interactions followed by ADMET analysis were applied. from the final hits, our study revealed the best twenty compounds that had more potential to be considered as lead compounds for inhibition activity of the three target proteins with docking score and binding energy values ranging from -16.8744 to -15.1022, from -16.0424 to -14.1645 and from -14.7566 to -13.3222 at zinc database and from -22.0345 to -19.4288, from - 28.3066 to -24.4539 and from -24.7229 to -21.4048 at Drugbank database for BvrR, OMP25 and OMP31 proteins respectively, and all these compounds displayed no cellular cytotoxicity.