In silico potential vaccine against oprF in multidrug-resistant Pseudomonas aeruginosa

Pseudomonas aeruginosa is an important cause of nosocomial infection and may lead to septicemia and death. P. aeruginosa septicaemia is associated with the highest mortality rate of all Gram-negative infections. Because of the general resistance of the organism to antibiotics, research has been focused on immunotherapy. There are several bacterial cell components incorporated into subunit vaccines. Vaccine studies have often focussed on lipopolysaccharide (LPS) and the outer membrane proteins (OPRs) due to its potent stimulation of the immune response. The major OPRs, OprF interested in the potential of OPRs as vaccines. Determination of OprF tertiary structure and theoretical methods for epitope prediction has been led to synthesis of such peptides that are important for immunodiagnostic tests and vaccines. Bioinformatic tools to better understanding and characterizing the oprF structure of P. aeruginosa was used. For homology modeling, BLAST was run on the sequence in order to find the best template. The template was then served to model the 3D structure. Also, Secondary structure of the protein was predicted. Moreover, topology, signal peptide and B cell epitopes of oprF were predicted. In conclusion, protein epitopes were selected as vaccine candidates. These regions contain functional exposed amino acids with higher properties score of B cell epitopes. In these regions, the majority of amino acids are hydrophile, flexible, accessible, and favorable for B cells with a view to point of secondary structure

کلیدواژه ها:

Pseudomonas aeruginosa ، Vaccine candidate ، OprF ، Bioinformatic