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In silico immunology

Author: Darren R Flower; Jonathan Timmis
Publisher: New York : Springer, ©2007.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Theoretical immunology is the application of mathematical modeling to diverse aspects of immunology. Immunoinformatics, the application of computational informatics to the study of immunological macromolecules, addresses questions in immunobiology and vaccinology, as well as addressing issues of data management, and can design and implement new experimental strategies. Artificial Immune Systems (AIS) uses ideas and  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Darren R Flower; Jonathan Timmis
ISBN: 9780387392387 0387392386
OCLC Number: 78203300
Description: xviii, 450 pages : illustrations ; 24 cm
Contents: 1. Innate and adaptive immunity / Adrian Robins --
2. Immunoinformatics and computational vaccinology : a brief introduction / Paul D. Taylor and Darren R. Flower --
3. A beginners guide to artificial immune systems / Jon Timmis and Paul Andrews --
4. Computational models of B cell and T cell receptors / Ha Youn Lee and Alan S. Perelson --
5. Modelling immunological memory / Simon Garrett, Martin Robbins, Joanne Walker, William Wilson and Uwe Aickelin --
6. Capturing degeneracy in the immune system / Paolo Tien, Gastone C. Castellani, Daniel Remondini, Silvana Valensin, Jonathan Loroni, Stefano Salvioli and Claudia Franceschi --
7. Alternative inspiration for artificial immune systems : exploiting Cohen's cognitive immune model / Paul Andrews and Jon Timmis --
8. 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, Christopher Toseland, Irini A. Doytchinova, Persephone Borrow and Darren R. Flower --
9. MHC diversity in individuals and populations / Jose A.M. Borghans, Can Kesmir and Rob J. De Boer --
10. Identifying major histocompatibility complex supertypes / Pingping Guan, Irini A. Doytchinova and Darren R. Flower --
11. Biomolecular structure prediction using immune inspired algorithms / Vincenzo Cutello and Giuseppe Nicosia --
12. Embodiment / Susan Stepney --
13. The multi-scale immune response to pathogens : M. tuberculosis as an example / Denise Kirschner --
14. Go dutch : exploit interactions and environments with artificial immune systems / Mark Neal and B.C. Trapnell, Jr. --
15. Immune inspired learning in a distributed environment / Andrew Watkins --
16. Mathematical analysis of artificial immune system dynamics and performance / Andrew Hone and Hugo van den Berg --
17. Conceptualizing the self-nonself discrimination by the vertebrate immune system / Melvin Cohn.
Responsibility: edited by Darren Flower and Jon Timmis.
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Abstract:

This book outlines three emergent disciplines, which are now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical immunology, immunoinformatics, and Artificial  Read more...

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