Bioinformatics for Immunomics

2010
ISBN: 978-1-4614-2485-7
Verlag: Springer

Buch, Englisch, Band 3, 192 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 324 g

Reihe: Immunomics Reviews:

Like many words, the term “immunomics” equates to different ideas contingent on context. For a brief span, immunomics meant the study of the Immunome, of which there were, in turn, several different definitions. A now largely defunct meaning rendered the Immunome as the set of antigenic peptides or immunogenic proteins within a single microorganism – be that virus, bacteria, fungus, or parasite – or microbial population, or antigenic or allergenic proteins and peptides derived from the environment as a whole, containing also proteins from eukaryotic sources. However, times have changed and the meaning of immunomics has also changed. Other newer definitions of the Immunome have come to focus on the plethora of immunological receptors and accessory molecules that comprise the host immune arsenal. Today, Immunomics or immunogenomics is now most often used as a synonym for high-throughput genome-based immunology. This is the study of aspects of the immune system using high-throughput techniques within a conc- tual landscape borne of both clinical and biophysical thinking.

Zielgruppe

Research

Autoren/Hrsg.

Flower, Darren D. R.

Ranganathan, Shoba

Davies, Matthew

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
• Naturwissenschaften Biowissenschaften Biochemische Immunologie
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Naturwissenschaften Biowissenschaften Proteinforschung
• Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Immunologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik

Inhaltsverzeichnis

Computational Vaccinology.- The Immuno Polymorphism Database.- The IMGT/HLA Database.- Ontology Development for the Immune Epitope Database.- TEPIDAS: A DAS Server for Integrating T-Cell Epitope Annotations.- Databases and Web-Based Tools for Innate Immunity.- Structural Immunoinformatics: Understanding MHC-Peptide-TR Binding.- Discovery of Conserved Epitopes Through Sequence Variability Analyses.- Tunable Detectors for Artificial Immune Systems: From Model to Algorithm.- Defining the Elusive Molecular Self.- A Bioinformatic Platform for a Bayesian, Multiphased, Multilevel Analysis in Immunogenomics.