Vaccine Design Against Leptospirosis Using an Immunoinformatic Approach

  • Kumari Snehkant Lata
  • Vibhisha Vaghasia
  • Shivarudrappa Bhairappanvar
  • Saumya Patel
  • Jayashankar Das
Part of the Methods in Molecular Biology book series (MIMB, volume 2131)


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.

Key words

Immunoinformatics Immunogenicity Leptospirosis Outer membrane protein Epitopes Vaccine candidate Molecular docking Simulation Binding interaction 


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2020

Authors and Affiliations

  • Kumari Snehkant Lata
    • 1
    • 2
  • Vibhisha Vaghasia
    • 1
    • 2
  • Shivarudrappa Bhairappanvar
    • 1
  • Saumya Patel
    • 2
  • Jayashankar Das
    • 1
  1. 1.Gujarat Biotechnology Research Centre, Department of Science and TechnologyGovernment of GujaratGandhinagarIndia
  2. 2.Department of Botany, Bioinformatics and Climate ChangeGujarat UniversityAhmedabadIndia

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