免疫信息学作为新型抗真菌疫苗的一种工具
Immunoinformatics as a Tool for New Antifungal Vaccines.
作者信息
Chaudhuri Rupanjali, Ramachandran Srinivasan
机构信息
IBM India Private Limited, Bangalore, India.
CSIR-Institute of Genomics and Integrative Biology, Room 130, Mathura Road, Near Sukhdev Vihar DTC Bus Depot, New Delhi, 110 025, India.
出版信息
Methods Mol Biol. 2017;1625:31-43. doi: 10.1007/978-1-4939-7104-6_3.
Immunoinformatics aids in screening for vaccine candidates, which can be experimentally tested for their efficacy. This chapter describes methods to use immunoinformatics to screen fungal vaccines candidates. Surface-localized molecules called adhesins could elicit immune response and serve as efficient vaccine candidates. The screening process is patterned on two steps, namely, a First Layer screen mostly used for value addition and prioritization based on characteristics of known antigens and a Second Layer highly focussed on core immunoinformatics analysis involving the binding and interactions of the molecules of the immune system. Together they offer a comprehensive objective evaluation of vaccine candidates selection in silico for fungal pathogens.
免疫信息学有助于筛选疫苗候选物,这些候选物可通过实验测试其有效性。本章介绍了使用免疫信息学筛选真菌疫苗候选物的方法。称为黏附素的表面定位分子可引发免疫反应,并可作为有效的疫苗候选物。筛选过程分为两个步骤,即第一层筛选,主要用于基于已知抗原的特征进行增值和优先级排序;第二层筛选则高度专注于核心免疫信息学分析,涉及免疫系统分子的结合和相互作用。它们共同为真菌病原体疫苗候选物的计算机辅助筛选提供了全面客观的评估。