Carrion's disease, caused by the bacterium Bartonella bacilliformis, is a serious public health problem in Peru, Ecuador and Colombia. Currently there is no available vaccine against B. bacilliformis. While antibiotics are the standard treatment, resistant strains have been reported, and there is a potential spread of the vector that transmits the bacteria. This study aimed to design a multi-epitope vaccine candidate against the causative agent of Carrion's disease using immunoinformatics tools. Predictions of B-cell epitopes, as well as CD4+ and CD8+T cell epitopes, were performed from the entire proteome of B. bacilliformis KC583 using the most frequent alleles from Peru, Ecuador, Colombia, and worldwide. B-cell epitopes and T-cell nested epitopes from outer membrane and virulence-associated proteins were selected. Epitopes were filtered out based on promiscuity, non-allergenicity, con...

Construye y optimiza in silico un candidato vacunal multiepitópico contra Bartonella bacilliformis. Selecciona los mejores epítopos de células B y T correspondientes a proteínas de membrana externa y asociadas a la virulencia. Construye dos candidatos vacunales para realizar la caracterización fisicoquímica y predicción estructural mediante herramientas bioinformáticas. Ejecuta la simulación de dinámica molecular de dos candidatos vacunales. Selecciona el mejor candidato vacunal y efectuar el docking molecular con el TLR4/MD2. El presente estudio, emplea una metodología basada en Inmunoinformática y se ha seleccionado minuciosamente epítopos con potencial capacidad de inducir una respuesta inmune celular y humoral. Se concluye que se ha logrado conformar dos constructos vacunales contra B. bacilliformis basados en dichos epítopos.