author : Darren R. Flower

Contents

• Adrian Robins.

Innate and Adaptive Immunity

• Paul D. Taylor, Darren R. Flower.

Immunoinformatics and Computational Vaccinology: a brief introduction

• Jonathan Timmis, Paul S. Andrews.

A Beginners Guide to Artificial Imune Systems

• Ha Youn Lee, Alan S. Perelson.

Computational models of B call and T cell receptors

• Simon M. Garrett, Martin J. Robbins, Joanne H. Walker, William O. Wilson, Uwe Aickelin.

Modelling immunological memory

• Paolo Tieri, Gastone C. Castellani, Daniel Remondini, Silvana Valensin, Jonathan Loroni, Stefano Salvioli, Claudio Franceschi.

Capturing degeneracy in the immune system

• Paul S. Andrews, Jonathan Timmis.

Alternative inspiration for Artificial Immune Systems: exploiting Cohen's cognitive immune model

• Channa K. Hattotuwagama, Pingping Guan, Matthew Davies, Debra J. Taylor, Valerie Walshe, Shelley L. Hemsley, Christopher Toseland, Irini A. Doytchinova, Persephone Borrow, Darren R. Flower.

Empirical, AI, and QSAR approaches to peptide-MHC binding prediction

• Jose A. M. Borghans, Can Kesmir, Rob J. de Boer.

MHC diversity in individuals and populations

• Pingping Guan, Irini A. Doytchinova, Darren R. Flower.

Identifying Major Histocompatibility Complex supertypes

• Vincenzo Cutello, Giuseppe Nicosia.

Biomolecular structure prediction using immune inspired algorithms

• Susan Stepney.

Embodiment

• Denise Kirschner.

The multi-scale immune response to pathogens: M. tuberculosis as an example

• Mark Neal, Bruce C. Trapnell Jr.

Go Dutch: exploit interactions and environments with Artificial Immune Systems

• Andrew Watkins.

Immune inspired learning in a distributed environment

• Andrew N. W. Hone, Hugo van den Berg.

Mathematical analysis of Artificial Immune System dynamics and performance

• Melvin Cohn.

Conceptualizing the self-nonself discrimination by the vertebrate immune system