In Silico Immunology

Editors: Flower, Darren D.R., Timmis, Jon (Eds.)

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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.

Table of contents (18 chapters)

Table of contents (18 chapters)
  • Overview of the book

    Pages 1-8

  • Innate and Adaptive Immunity

    Robins, Adrian

    Pages 11-21

  • Immunoinformatics and Computational Vaccinology: A Brief Introduction

    Taylor, Paul D (et al.)

    Pages 23-46

  • A Beginners Guide to Artificial Immune Systems

    Timmis, Jon (et al.)

    Pages 47-62

  • Computational Models of B cell and T cell Receptors

    Lee, Ha Youn (et al.)

    Pages 65-81

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-0-387-39241-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.99
price for USA in USD
  • ISBN 978-0-387-39238-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.99
price for USA in USD
  • ISBN 978-1-4419-4264-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
In Silico Immunology
Editors
  • Darren D.R. Flower
  • Jon Timmis
Copyright
2007
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-39241-7
DOI
10.1007/978-0-387-39241-7
Hardcover ISBN
978-0-387-39238-7
Softcover ISBN
978-1-4419-4264-7
Edition Number
1
Number of Pages
XVIII, 451
Number of Illustrations
89 b/w illustrations
Topics