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

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

Ada Kazi  1   2 , Candy Chuah  3 , Abu Bakar Abdul Majeed  4 , Chiuan Herng Leow  5 , Boon Huat Lim  2 , Chiuan Yee Leow  1
Affiliations

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

Ada Kazi et al. Pathog Glob Health. 2018 May.

Erratum in

  • Corrigendum.
    [No authors listed] [No authors listed] Pathog Glob Health. 2020 Mar;114(2):II. doi: 10.1080/20477724.2018.1459242. Epub 2018 Apr 27. Pathog Glob Health. 2020. PMID: 29701139 Free PMC article. No abstract available.

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.

Keywords: Antigen; bioinformatics; epitope prediction; human leukocyte antigen (HLA); immunoinformatics; in silico tools; major histocompability (MHC); reverse vaccinology; vaccine design.

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Figures

Figure 1.
Figure 1.
Schematic representation of the conventional approach to bacterial vaccine development.
Figure 2.
Figure 2.
Schematic workflow to vaccine development through reverse vaccinology.
See this image and copyright information in PMC

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