Eman A. Gouda, Amro Hanora and Tamer M. Essam
Biotechnology Department, Faculty of Postgraduate Studies for Advanced Sciences, Beni-Suef University, Giza, Egypt
Although; Most of E. coli strains are part of the physiological microbiota in the gastrointestinal tracts of human and animals, there is pathogenic E. coli that causes extra-intestinal and intestinal diseases. A recent food-borne outbreak which belongs to intestinal Enterohemorrhagic E. coli is E. coli O104:H4 stain which emerged from Europe and causes bloody diarrhea, severe colitis, hemolytic uremic syndrome (HUS) and in some cases leads to death. Due to increase in antibiotic resistance and mortality, morbidity this leads to the development of an effective vaccine which will have a significant impacts economically and in public health. Reverse vaccinology is a new promising approach in vaccine developing, especially after multiple genomic sequences of many bacteria and viruses. The aim of this work is to design immunogenic vaccine candidate using bioinformatics and immunoinformatic tools. In this study; comparative bioinformatics was used to obtain specific orthologous proteins of E. coli O104:H4 when compared with nonpathogenic E. coli using Blast-P. These set of proteins is undergo further analysis using different software to detect and determine their subcellular localization (P-SORT), transmembrane (TMHMM), B-cell epitop Prediction (BC preds) and T-cell epitop prediction ( Net CTL, Net MHC-II). From these data the most immunogenic vaccine candidate is identified which can be used to produce a real vaccine and test its safety and efficacy.