The field of Immunomics has developed within the post-genomic era as a response to the massive amount of biological and immunological data now available to researchers. Immunomics crosses the disciplines of immunology, genomics, proteomics and computational biology and address some fundamental problems in biological and medical research. This book covers some of the rich sources of immunological data that are currently available and describes the various bioinformatics techniques that have been utilized to aid our understanding of the immune system. It also describes the nature of the self/non-self distinction that forms the basis of immunological theory and how computational modeling can help to clarify our understanding of how the immune system works.
Author(s): Matthew N. Davies, Darren R. Flower (auth.), Darren D.R. Flower, Matthew Davies, Shoba Ranganathan (eds.)
Series: Immunomics Reviews: 3
Edition: 1
Publisher: Springer-Verlag New York
Year: 2010
Language: English
Pages: 192
City: New York
Tags: Immunology; Bioinformatics; Microbiology; Human Genetics
Front Matter....Pages i-xvi
Computational Vaccinology....Pages 1-20
The Immuno Polymorphism Database....Pages 21-32
The IMGT/HLA Database....Pages 33-45
Ontology Development for the Immune Epitope Database....Pages 47-56
TEPIDAS: A DAS Server for Integrating T-Cell Epitope Annotations....Pages 57-65
Databases and Web-Based Tools for Innate Immunity....Pages 67-76
Structural Immunoinformatics: Understanding MHC-Peptide-TR Binding....Pages 77-93
Discovery of Conserved Epitopes Through Sequence Variability Analyses....Pages 95-101
Tunable Detectors for Artificial Immune Systems: From Model to Algorithm....Pages 103-127
Defining the Elusive Molecular Self....Pages 129-155
A Bioinformatic Platform for a Bayesian, Multiphased, Multilevel Analysis in Immunogenomics....Pages 157-185
Back Matter....Pages 187-192
