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Computational Tools for Aiding Rational Antibody Design

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Computational Protein Design

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1529))

Abstract

Antibodies are a group of proteins responsible for mediating immune reactions in vertebrates. They are able to bind a variety of structural motifs on noxious molecules tagging them for elimination from the organism. As a result of their versatile binding properties, antibodies are currently one of the most important classes of biopharmaceuticals. In this chapter, we discuss how knowledge-based computational methods can aid experimentalists in the development of potent antibodies. When using common experimental methods for antibody development, we often know the sequence of an antibody that binds to our molecule, antigen, of interest. We may also have a structure or model of the antigen. In these cases, computational methods can help by both modeling the antibody and identifying the antibody–antigen contact residues. This information can then play a key role in the rational design of more potent antibodies.

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Authors and Affiliations

  1. Department of Statistics, University of Oxford, Oxford, UK

    Konrad Krawczyk, James Dunbar & Charlotte M. Deane

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  1. Konrad Krawczyk
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  2. James Dunbar
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  3. Charlotte M. Deane
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Correspondence to Charlotte M. Deane .

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Editors and Affiliations

  1. Department of Plants and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel

    Ilan Samish

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Krawczyk, K., Dunbar, J., Deane, C.M. (2017). Computational Tools for Aiding Rational Antibody Design. In: Samish, I. (eds) Computational Protein Design. Methods in Molecular Biology, vol 1529. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6637-0_21

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  • DOI: https://doi.org/10.1007/978-1-4939-6637-0_21

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  • Print ISBN: 978-1-4939-6635-6

  • Online ISBN: 978-1-4939-6637-0

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