The role of immunoinformatics in the development of T-cell peptide-based vaccines against Mycobacterium tuberculosis

David Ortega-Tirado, Aldo A. Arvizu-Flores, Carlos Velazquez, Adriana Garibay-Escobar*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

5 Scopus citations


Introduction: Tuberculosis (TB) is a major health problem worldwide. The BCG, the only authorized vaccine to fight TB, shows a variable protection in the adult population highlighting the need of a new vaccine. Immunoinformatics offers a variety of tools that can predict immunogenic T-cell peptides of Mycobacterium tuberculosis (Mtb) that can be used to create a new vaccine. Immunoinformatics has made possible the identification of immunogenic T-cell peptides of Mtb that have been tested in vitro showing a potential for using these molecules as part of a new TB vaccine. Areas covered: This review summarizes the most common immunoinformatics tools to identify immunogenic T-cell peptides and presents a compilation about research studies that have identified T-cell peptides of Mtb by using immunoinformatics. Also, it is provided a summary of the TB vaccines undergoing clinical trials. Expert opinion: In the next few years, the field of peptide-based vaccines will keep growing along with the development of more efficient and sophisticated immunoinformatic tools to identify immunogenic peptides with a greater accuracy.

Original languageEnglish
Pages (from-to)831-841
Number of pages11
JournalExpert Review of Vaccines
Issue number9
StatePublished - Sep 2020

Bibliographical note

Funding Information:
This work was supported by Consejo Nacional de Ciencia y Tecnología (CONACyT) under grant no. 83224. We thank Universidad de Sonora for the help granted to carry out this manuscript.

Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.


  • Mycobacterium tuberculosis
  • T-cell peptides
  • Tuberculosis
  • immunoinformatics
  • peptide vaccine


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