In Silico Sub-unit Hexavalent Peptide Vaccine Against an Staphylococcus aureus Biofilm-Related Infection

Abstract

Staphylococcus aureus is responsible for significant and increasing number of hospital-and community-acquired infections worldwide. A pool of pathogenesis factors helps the bacterium to cause the range of mild to severe infections leading the high mortality and morbidity. Staphylococcus aureus and Candida albicans can be co-isolated from all human mucosal sites and are responsible for diverse infections. Vaccine design for related polymicrobial infections should consider the consortia of microorganisms responsible for the disease. In this study we considered biofilm mode of growth and polymicrobial nature of the infections caused by S. aureus. In the first phase of study the prediction of putative antigenic targets of S. aureus and C. albicans was conducted based on data mining and bioinformatic characterization of their proteins. Various properties of proteins were evaluated such as subcellular localization, hydrophilicity, repeat containing modules, beta turns, surface accessibility and number of antigenic determinants. The second phase includes various immunoinformatics analyses on six proteins include ALS, ClfA, FtmB, SdrE, Spa and Bap leading to design a novel sub-unit hexavalent vaccine. Several potential T cell and B-cell epitopes are present in our vaccine. Also the vaccine is expected to strongly induce IFN-gamma production. The amino acid sequence introduced here is expected to enhance cell-mediated and humoral responses against S. aureus biofilm-related infections to clear biofilm communities of S. aureus and intracellular colonies of pathogen as well as planktonic cells and thus reduces colonization and persistence.