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  • © 2007

In Silico Immunology

  • In silico Immunology" summarizes the three different disciplines now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical immunology, immunoinformatics, and Artificial Immune Systems (AIS)

  • It will address the issue of synergy as it shows how these three are set to transform immunological science and the future of health care

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-0-387-39241-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 219.99
Price excludes VAT (USA)

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Table of contents (18 chapters)

  1. Front Matter

    Pages I-XVIII
  2. Overview of the book

  3. Introducing In Silico Immunology

    1. Front Matter

      Pages 9-9
    2. Innate and Adaptive Immunity

      • Adrian Robins
      Pages 11-21
    3. A Beginners Guide to Artificial Immune Systems

      • Jon Timmis, Paul Andrews
      Pages 47-62
  4. The Nature of Natural and Artificial Immune Systems

    1. Front Matter

      Pages 63-63
    2. Computational Models of B cell and T cell Receptors

      • Ha Youn Lee, Alan S. Perelson
      Pages 65-81
    3. Modelling Immunological Memory

      • Simon Garrett, Martin Robbins, Joanne Walker, William Wilson, Uwe Aickelin
      Pages 83-108
    4. Capturing Degeneracy in the Immune System

      • Paolo Tieri, Gastone C. Castellani, Daniel Remondini, Silvana Valensin, Jonathan Loroni, Stefano Salvioli et al.
      Pages 109-118
    5. Empirical, AI, and QSAR Approaches to Peptide-MHC Binding Prediction

      • Channa K Hattotuwagama, Pingping Guan, Matthew Davies, Debra J Taylor, Valerie Walshe, Shelley L Hemsley et al.
      Pages 139-175
    6. MHC diversity in Individuals and Populations

      • José A. M. Borghans, Can Keşmir, Rob J. De Boer
      Pages 177-195
    7. Identifying Major Histocompatibility Complex Supertypes

      • Pingping Guan, Irini A. Doytchinova, Darren R. Flower
      Pages 197-233
    8. Biomolecular Structure Prediction Using Immune Inspired Algorithms

      • Vincenzo Cutello, Giuseppe Nicosia
      Pages 235-261
  5. How Natural and Artificial Immune Systems Interact with the World

    1. Front Matter

      Pages 263-263
    2. Embodiment

      • Susan Stepney
      Pages 265-288

About this book

Immunology is an all important science, addressing, as it does the most pressing medical needs of our time: infectious disease and transplantation medicine. It has given us vaccines on the one hand and therapeutic antibodies on the other. After a century of empirical research, it is now poised to finally reinvent itself as a quantitative, genome-based science. Like most biological disciplines, immunology must capitalize on the potentially overwhelming deluge of new data delivered by post-genomic, high throughput technologies; data which is both bewilderingly complex and delivered on a hitherto unimaginable scale.

Theoretical immunology is the application of mathematical modeling to diverse aspects of immunology ranging from T cell selection in the Thymus to the epidemiology of vaccination. Immunoinformatics, the application of computational informatics to the study of immunological macromolecules, addresses important questions in immunobiology and vaccinology. Immunoinformatics, addresses issues of data management, and has the ability to design and implement efficient new experimental strategies. Artificial Immune Systems (AIS) is an area of computer science which uses ideas and concepts from immunology to guide and inspire new algorithms, data structures, and software development. The influence of AIS is now becoming highly synergistic through its interaction with immunoinformatics.

These three different disciplines are now poised to engineer a paradigm shift from hypothesis- to data-driven research, with new understanding emerging from the analysis of complex datasets: theoretical immunology, immunoinformatics, and Artificial Immune Systems (AIS). "in silico Immunology" is a book for the future: it will summarize these emergent disciplines and, while focusing on cutting edge developments, will address the issue of synergy as it shows how these three are set to transform immunological science and the future of health care.

Keywords

  • In silico
  • Master Patient Index
  • algorithms
  • artificial immune systems
  • computational science
  • immunoinformatics
  • immunology
  • theoretical immunology
  • Proteomics

Editors and Affiliations

  • The Jenner Institute, University of Oxford, UK

    Darren Flower

  • University of York, Heslington, UK

    Jon Timmis

Bibliographic Information

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-0-387-39241-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 219.99
Price excludes VAT (USA)