Gujarat Biotechnology Research Centre, Department of Science and Technology, Government of Gujarat, Gandhinagar, India.
Department of Botany, Bioinformatics and Climate Change, Gujarat University, Ahmedabad, India.
Methods Mol Biol. 2020;2131:173-184. doi: 10.1007/978-1-0716-0389-5_7.
Vaccination is the best way to prevent the spread of emerging or reemerging infectious disease. Current research for vaccine development is mainly focused on recombinant-, subunit-, and peptide-based vaccine. At this point, immunoinformatics has been proven as a powerful method for identification of potential vaccine candidates, by analyzing immunodominat B- and T-cell epitopes. This method can reduce the time and cost of experiment to a great extent, by reducing the number of vaccine candidates for experimental testing for their efficacy. This chapter describes the use of immunoinformatics and molecular docking methods to screen potential vaccine candidates by taking Leptospira as a model.
接种疫苗是预防新发和再现传染病传播的最佳方法。目前疫苗开发的研究主要集中在重组疫苗、亚单位疫苗和肽疫苗上。在这一点上，免疫信息学已经被证明是一种通过分析免疫显性 B 细胞和 T 细胞表位来识别潜在疫苗候选物的有力方法。通过减少实验测试候选疫苗的数量，可以在很大程度上减少实验的时间和成本，以评估其功效。本章以钩端螺旋体为例，描述了使用免疫信息学和分子对接方法筛选潜在疫苗候选物的方法。
