Vaccine Design Against Leptospirosis Using an Immunoinformatic Approach

Methods Mol Biol. 2020:2131:173-184. doi: 10.1007/978-1-0716-0389-5_7.

Abstract

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.

Keywords: Binding interaction; Epitopes; Immunogenicity; Immunoinformatics; Leptospirosis; Molecular docking; Outer membrane protein; Simulation; Vaccine candidate.

MeSH terms

  • Antigens, Bacterial / immunology
  • Bacterial Outer Membrane Proteins / immunology*
  • Bacterial Vaccines / immunology
  • Computational Biology / methods*
  • Computer-Aided Design
  • Epitopes, B-Lymphocyte / immunology
  • Epitopes, T-Lymphocyte / immunology
  • Humans
  • Immunodominant Epitopes / immunology
  • Leptospira / immunology*
  • Leptospirosis / immunology
  • Leptospirosis / prevention & control*
  • Molecular Docking Simulation
  • Vaccines, Subunit / immunology*

Substances

  • Antigens, Bacterial
  • Bacterial Outer Membrane Proteins
  • Bacterial Vaccines
  • Epitopes, B-Lymphocyte
  • Epitopes, T-Lymphocyte
  • Immunodominant Epitopes
  • Vaccines, Subunit