Listeriosis is a major foodborne infection provoked by a bacterium known as Listeria monocytogenes. It is one of the predominant causes of death in pregnant women, infants, and immunocompromised persons. Despite such fatal effects, until now there is no proper medication or drug available for such a serious foodborne infection. One of the most promising ways to deal with this challenge is vaccination. This present study aims at the prediction of B cell epitopes for subunit vaccine designing against Listeria monocytogenes using a reverse vaccinology approach. Among screened out 299 epitopes of strain F2365 of Listeria monocytogenes, based on the VaxiJen score, the top 20 epitopes were selected. 3D modeling of epitopes and alleles was generated by PEPstrMOD and Swiss Model respectively. Molecular docking reveals 4 epitopes viz., MKFLFPLKL, CEETFGIRL, FLKIDPPIL, and VRHHGGGHK based on binding energy. All 4 epitopes were investigated for non-toxicity, binding affinity, and population coverage. After vigorous investigation, epitope FLKIDPPIL was anticipated as the best vaccine contender. The stability of the FLKIDPPIL-HLA DRB1 _0101 complex was proved by performing the simulation. Here, predicted peptide through the Insilico approach may become a potential remedy against listeriosis, after the wet-lab approach and clinical trials.

李斯特菌病是一种主要的食源性感染，由一种称为李斯特菌的细菌引起。它是孕妇、婴儿和免疫功能低下者死亡的主要原因之一。尽管有如此致命的影响，但到目前为止，还没有合适的药物或药物可用于治疗如此严重的食源性感染。应对这一挑战的最有希望的方法之一是接种疫苗。本研究旨在预测 B 细胞表位，用于使用反向疫苗学方法设计针对单核细胞增生李斯特菌的亚单位疫苗。筛选出单核细胞增生李斯特菌F2365株的299个表位，根据 VaxiJen 评分，选出前 20 个表位。表位和等位基因的 3D 建模分别由 PEPstrMOD 和 Swiss Model 生成。基于结合能的分子对接揭示了 4 个表位，即 MKFLFPLKL、CEETFGIRL、FLKIDPPIL 和 VRHHGGGHK。研究了所有 4 个表位的无毒性、结合亲和力和群体覆盖率。经过积极的调查，表位 FLKIDPPIL 被认为是最好的疫苗竞争者。FLKIDPPIL-HLA DRB1 _0101 复合体的稳定性通过仿真得到证明。在这里，在湿实验室方法和临床试验之后，通过Insilico方法预测的肽可能成为对抗李斯特菌病的潜在疗法。