2007

In Silico Immunology

Editors:

ISBN: 978-0-387-39238-7 (Print) 978-0-387-39241-7 (Online)

Table of contents (18 chapters)

  1. Front Matter

    Pages I-XVIII

  2. Overview of the book

    1. No Access

      Book Chapter

      Pages 1-8

      Overview of the book

  3. Introducing In Silico Immunology

    1. Front Matter

      Pages 9-9

    2. No Access

      Book Chapter

      Pages 11-21

      Innate and Adaptive Immunity

    3. No Access

      Book Chapter

      Pages 23-46

      Immunoinformatics and Computational Vaccinology: A Brief Introduction

    4. No Access

      Book Chapter

      Pages 47-62

      A Beginners Guide to Artificial Immune Systems

  4. The Nature of Natural and Artificial Immune Systems

    1. Front Matter

      Pages 63-63

    2. No Access

      Book Chapter

      Pages 65-81

      Computational Models of B cell and T cell Receptors

    3. No Access

      Book Chapter

      Pages 83-108

      Modelling Immunological Memory

    4. No Access

      Book Chapter

      Pages 109-118

      Capturing Degeneracy in the Immune System

    5. No Access

      Book Chapter

      Pages 119-137

      Alternative Inspiration For Artificial Immune Systems: Exploiting Cohen’s Cognitive Immune Model

    6. No Access

      Book Chapter

      Pages 139-175

      Empirical, AI, and QSAR Approaches to Peptide-MHC Binding Prediction

    7. Book Chapter

      Pages 177-195

      MHC diversity in Individuals and Populations

    8. No Access

      Book Chapter

      Pages 197-233

      Identifying Major Histocompatibility Complex Supertypes

    9. No Access

      Book Chapter

      Pages 235-261

      Biomolecular Structure Prediction Using Immune Inspired Algorithms

  5. How Natural and Artificial Immune Systems Interact with the World

    1. Front Matter

      Pages 263-263

    2. No Access

      Book Chapter

      Pages 265-288

      Embodiment

    3. No Access

      Book Chapter

      Pages 289-311

      The Multi-scale Immune Response to Pathogens: M. tuberculosis as an Example

    4. No Access

      Book Chapter

      Pages 313-330

      Go Dutch: Exploit Interactions and Environments with Artificial Immune Systems

    5. No Access

      Book Chapter

      Pages 331-350

      Immune Inspired Learning in a Distributed Environment

    6. No Access

      Book Chapter

      Pages 351-374

      Mathematical Analysis of Artificial Immune System Dynamics and Performance

    7. No Access

      Book Chapter

      Pages 375-398

      Conceptualizing the Self-Nonself Discrimination by the Vertebrate Immune System

  6. Back Matter

    Pages 399-450