Institute of Biotechnology and Biomedicine, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
Methods Mol Biol. 2021;2183:43-62. doi: 10.1007/978-1-0716-0795-4_5.
There is still a lack of vaccines for many bacterial infections for which the best treatment option would be a prophylactic one. On the other hand, effectiveness has been questioned for some existing vaccines, prompting new developments. Therapeutic vaccines are also becoming a treatment option in specific cases where antibiotics tend to fail. In this scenario, refinement and extension of the classical reverse vaccinology approach is allowing scientists to find new and more effective antigens. In this chapter, we describe an in silico methodology that integrates pangenomic, immunoinformatic, structural, and evolutionary approaches for the screening of potential antigens in a given bacterial species. The strategy focuses on targeting relatively conserved epitopes in core proteins to design broadly cross-protective vaccines and avoid allele-specific immunity. The proposed methodological steps and computational tools can be easily implemented in a reverse vaccinology approach not only to identify new leads with strong immune response but also to develop diagnostic assays.
对于许多细菌性感染,目前仍然缺乏疫苗,而预防性疫苗是最佳治疗选择。另一方面,一些现有的疫苗的有效性受到质疑,这促使人们进行新的开发。在抗生素往往无效的特定情况下,治疗性疫苗也成为一种治疗选择。在这种情况下,对经典反向疫苗学方法的改进和扩展使科学家能够找到新的、更有效的抗原。在本章中,我们描述了一种计算方法,该方法整合了泛基因组、免疫信息学、结构和进化方法,用于筛选给定细菌物种中的潜在抗原。该策略侧重于针对核心蛋白中的相对保守表位设计广泛的交叉保护疫苗,以避免等位基因特异性免疫。所提出的方法步骤和计算工具可以很容易地应用于反向疫苗学方法中,不仅可以识别具有强烈免疫反应的新先导化合物,还可以开发诊断检测方法。