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Immunoinformatics and Epitope Prediction

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Immunoinformatics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2131))

Abstract

With advancements in sequencing technologies, vast amount of experimental data has accumulated. Due to rapid progress in the development of bioinformatics tools and the accumulation of data, immunoinformatics or computational immunology emerged as a special branch of bioinformatics which utilizes bioinformatics approaches for understanding and interpreting immunological data. One extensively studied aspect of applied immunology involves using available databases and tools for prediction of B- and T-cell epitopes. B and T cells comprise two arms of adaptive immunity.

This chapter first reviews the methodology we used for computational identification of B- and T-cell epitopes against enterotoxigenic Escherichia coli (ETEC). Then we discuss other databases of epitopes and analysis tools for T-cell and B-cell epitope prediction and vaccine design. The predicted peptides were analyzed for conservation and population coverage. HLA distribution analysis for predicted epitopes identified efficient MHC binders. Epitopes were further tested using computational docking studies to bind in MHC-I molecule cleft. The predicted epitopes were conserved and covered more than 80% of the world population.

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Author information

Authors and Affiliations

  1. Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, HP, India

    Jayashree Ramana

  2. National Bureau of Animal Genetic Resources, Karnal, Haryana, India

    Kusum Mehla

Authors
  1. Jayashree Ramana
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  2. Kusum Mehla
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Editor information

Editors and Affiliations

  1. Department of BioMedical Engineering, Medical College of Wisconsin, Milwaukee, WI, USA

    Namrata Tomar

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Ramana, J., Mehla, K. (2020). Immunoinformatics and Epitope Prediction. In: Tomar, N. (eds) Immunoinformatics. Methods in Molecular Biology, vol 2131. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0389-5_6

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  • DOI: https://doi.org/10.1007/978-1-0716-0389-5_6

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0388-8

  • Online ISBN: 978-1-0716-0389-5

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