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免疫信息学方法在细胞和抗体依赖性疫苗设计中的应用进展。

Current progress of immunoinformatics approach harnessed for cellular- and antibody-dependent vaccine design.

机构信息

a Institute for Research in Molecular Medicine (INFORMM) , Universiti Sains Malaysia , Kelantan , Malaysia.

b School of Health Sciences , Universiti Sains Malaysia , Kelantan , Malaysia.

出版信息

Pathog Glob Health. 2018 May;112(3):123-131. doi: 10.1080/20477724.2018.1446773. Epub 2018 Mar 12.

Abstract

Immunoinformatics plays a pivotal role in vaccine design, immunodiagnostic development, and antibody production. In the past, antibody design and vaccine development depended exclusively on immunological experiments which are relatively expensive and time-consuming. However, recent advances in the field of immunological bioinformatics have provided feasible tools which can be used to lessen the time and cost required for vaccine and antibody development. This approach allows the selection of immunogenic regions from the pathogen genomes. The ideal regions could be developed as potential vaccine candidates to trigger protective immune responses in the hosts. At present, epitope-based vaccines are attractive concepts which have been successfully trailed to develop vaccines which target rapidly mutating pathogens. In this article, we provide an overview of the current progress of immunoinformatics and their applications in the vaccine design, immune system modeling and therapeutics.

摘要

免疫信息学在疫苗设计、免疫诊断开发和抗体生产中发挥着关键作用。过去,抗体设计和疫苗开发完全依赖于相对昂贵和耗时的免疫学实验。然而,免疫生物信息学领域的最新进展提供了可行的工具,可以用于减少疫苗和抗体开发所需的时间和成本。这种方法可以从病原体基因组中选择免疫原性区域。这些理想的区域可以开发为潜在的疫苗候选物,以在宿主中引发保护性免疫反应。目前,基于表位的疫苗是一种很有吸引力的概念,已经成功地用于开发针对快速变异病原体的疫苗。在本文中,我们概述了免疫信息学的最新进展及其在疫苗设计、免疫系统建模和治疗中的应用。

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