Abstract
Ureaplasma urealyticum is an opportunistic pathogen that is associated with numerous urogenital infections, infertility, and pregnancy complications. The lack of a cell wall and the growing resistance to traditional antibiotics lead to the need to develop alternative preventative measures like vaccines. A multi-epitope subunit vaccine against the MBA protein, which is a protein on the surface and is a virulence factor that interacts with the host immune system, and is also an antigenic variation protein, was conducted by a computational reverse vaccinology method. The MBA proteins were examined to determine possible B and T-cell antigens of proteins that had high antigenicity, non-allergenicity and immunogenic potential. The epitopes of interest were combined into a multi-epitope construct with a suitable adjuvant to boost immune response. Structural modelling, immune receptor molecular docking, and immune simulation research were executed to observe the stability and efficacy of the created vaccine candidate. These findings exhibited a high binding affinity with Toll-like receptor, and cellular immune responses and humoral elicitation. Moreover, in-silico cloning was done by using E. coli as an expression vector. Overall, this study presents a promising in-silico platform to develop an efficient vaccine against U. urealyticum as a possible step to control infections with this pathogen before other experimental data is collected.
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