E-Book, Englisch, 200 Seiten
Schönbach / Ranganathan / Brusic Immunoinformatics
1. Auflage 2007
ISBN: 978-0-387-72968-8
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 200 Seiten
ISBN: 978-0-387-72968-8
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Immunoinformatics uses mathematics, information science, computer engineering, genomics, proteomics, and immunological methods to bridge immunology and informatics. In contrast to existing books on immunoinformatics that emphasize epitope prediction, this volume presents a cross-section of immunoinformatics research. The contributions highlight the interdisciplinary nature of the field and how collaborative efforts among bioinformaticians and bench scientists result in innovative strategies for understanding the immune system. Immunoinformatics is ideal for scientists and students in immunology, bioinformatics, microbiology, genetics, systems biology, biotechnology, and computational biology. This is the first volume in a series dedicated to advances in immunomics, focusing on systemic and integrative approaches in basic and clinical immunology, immunoinformatics, and immunologically relevant instrumentation and high-throughput screening methods.
Autoren/Hrsg.
Weitere Infos & Material
1;Foreword;5
2;Contents;8
3;Contributors;15
4;IMGT-ONTOLOGY, IMGT® Databases, Tools, and Web Resources for Immunoinformatics;18
4.1;1.1 Introduction;18
4.2;1.2 The IMGT® Information System;19
4.3;1.3 IMGT-ONTOLOGY Concepts and IMGT® Components for Genomics;22
4.4;1.4 IMGT-ONTOLOGY Concepts and IMGT® Components for Genetics;23
4.5;1.5 IMGT-ONTOLOGY Concepts and IMGT® Components for 2D and 3D Structures;27
4.6;1.6 IMGT-Choreography;29
4.7;1.7 Conclusions;30
4.8;1.8 Citing IMGT;31
4.9;Acknowledgements;31
4.10;References;32
5;IMGT Standardization for Molecular Characterization of the T Cell Receptor/ Peptide/ MHC Complexes;36
5.1;2.1 Introduction;36
5.2;2.2 T Cell Receptor/Peptide/MHC 3D Structures and IMGT Standardization;38
5.3;2.3 TR/pMHC Contact Analysis;45
5.4;2.4 Conclusions;62
5.5;2.5 Citing IMGT/3Dstructure-DB;62
5.6;Acknowledgements;62
5.7;References;63
6;Structural Immunoinformatics;67
6.1;3.1 Introduction;67
6.2;3.2 Structural Features of MHC Peptides;68
6.3;3.3 MHC-Peptide Interaction Parameters;69
6.4;3.4 Structural Prediction Techniques;70
6.5;3.5 Application of Docking Protocol;74
6.6;3.6 Available Resources;75
6.7;3.7 Conclusions;76
6.8;References;76
7;In Silico QSAR-Based Predictions of Class I and Class II MHC Epitopes;78
7.1;4.1 Introduction;79
7.2;4.2 Methodology;81
7.3;4.3 Results;85
7.4;4.4 Discussion;93
7.5;4.5 Conclusions;100
7.6;References;101
8;Allergen Bioinformatics;105
8.1;5.1 Introduction;105
8.2;5.2 Allergen Databases;107
8.3;5.3 Allergenicity Prediction;114
8.4;5.4 Conclusion;118
8.5;Acknowledgements;118
8.6;References;119
9;Immunoinformatics Applied to Modifying and Improving Biological Therapeutics;122
9.1;6.1 Introduction;122
9.2;6.2 Components of the Immune Response to Biologicals;124
9.3;6.3 A New Concept: Deimmunization by T-Cell Epitope Modification;130
9.4;6.4 A Step-by-Step Approach to Deimmunization;135
9.5;6.5. When Can Deimmunization Be Useful?;140
9.6;6.6 Conclusions;141
9.7;References;141
10;Plasticity of Dendritic Cell Transcriptional Responses to Antigen: Functional States of Dendritic Cells;145
10.1;7.1 Introduction;145
10.2;7.2 Dendritic Cells;146
10.3;7.3 Gene Expression Programs in Antigen-Presenting Cells;150
10.4;7.4 Integrating Genomics Data: A System View of the Immune Response;153
10.5;7.5 Conclusions;156
10.6;Acknowledgements;156
10.7;References;157
11;Understanding the Immune System by Computer- Aided Modeling;159
11.1;8.1 Introduction;159
11.2;8.2 Computational Immunology;160
11.3;8.3 Discrete Models of HIV Infection;165
11.4;8.4 Simulation of HIV-1 Infection;166
11.5;8.5 Conclusions;169
11.6;References;169
12;Simulation of HIV-1 Molecular Evolution in Response to Chemokine Coreceptors and Antibodies;172
12.1;9.1 Introduction;172
12.2;9.2 The HIV Replication Cycle;173
12.3;9.3 The Model;175
12.4;9.4 Simulations;179
12.5;9.5 Conclusions and Future Directions;187
12.6;Acknowledgements;188
12.7;References;188
13;MUTANT MOUSE: Biosimulator for the Functional Annotation of Gene and Genome Networks;190
13.1;10.1 Introduction;190
13.2;10.2 I/O System in Mouse Genetics;192
13.3;10.3 Renaissance of Classical Genetics;195
13.4;10.4 Conclusions;203
13.5;Acknowledgements;204
13.6;References;204
14;Index;206
