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Immunoinformatics and Systems Biology Methods for Personalized Medicine

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Systems Biology in Drug Discovery and Development

Part of the book series: Methods in Molecular Biology ((MIMB,volume 662))

Abstract

The immune system plays an important role in the development of personalized medicine for a variety of diseases including cancer, autoimmune diseases, and infectious diseases. Immunoinformatics, or computational immunology, is an emerging area that provides fundamental methodologies in the study of immunomics, that is, immune-related genomics and proteomics. The integration of immunoinformatics with systems biology approaches may lead to a better understanding of immune-related diseases at various systems levels. Such methods can contribute to translational studies that bring scientific discoveries of the immune system into better clinical practice. One of the most intensely studied areas of the immune system is immune epitopes. Epitopes are important for disease understanding, host–pathogen interaction analyses, antimicrobial target discovery, and vaccine design. The information about genetic diversity of the immune system may help define patient subgroups for individualized vaccine or drug development. Cellular pathways and host immune-pathogen interactions have a crucial impact on disease pathogenesis and immunogen design. Epigenetic studies may help understand how environmental changes influence complex immune diseases such as allergy. High-throughput technologies enable the measurements and catalogs of genes, proteins, interactions, and behavior. Such perception may contribute to the understanding of the interaction network among humans, vaccines, and drugs, to enable new insights of diseases and therapeutic responses. The integration of immunomics information may ultimately lead to the development of optimized vaccines and drugs tailored to personalized prevention and treatment. An immunoinformatics portal containing relevant resources is available at http://immune.pharmtao.com.

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Authors and Affiliations

  1. PharmTao, Santa Clara, CA, USA

    Qing Yan

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  1. Qing Yan
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Correspondence to Qing Yan .

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  1. PharmTao, Santa Clara, California, USA

    Qing Yan

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Yan, Q. (2010). Immunoinformatics and Systems Biology Methods for Personalized Medicine. In: Yan, Q. (eds) Systems Biology in Drug Discovery and Development. Methods in Molecular Biology, vol 662. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-60761-800-3_10

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  • DOI: https://doi.org/10.1007/978-1-60761-800-3_10

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  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-60761-799-0

  • Online ISBN: 978-1-60761-800-3

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