Editors:
- Addresses databases, HLA supertypes, MCH binding, and other properties of immune systems
- A firm background for anyone working in immunoinformatics
- Chapters written by leaders in the field
Part of the book series: Methods in Molecular Biology (MIMB, volume 409)
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Table of contents (31 protocols)
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Front Matter
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Immunoinformatics and the in Silico Prediction of Immunogenicity
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Front Matter
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Databases
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Front Matter
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Defining HLA Supertypes
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Front Matter
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Predicting Peptide-MHC Binding
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Front Matter
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About this book
Immunoinformatics: Predicting Immunogenicity In Silico is a primer for researchers interested in this emerging and exciting technology and provides examples in the major areas within the field of immunoinformatics. This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology.
The volume is conveniently divided into four sections. The first section, Databases, details various immunoinformatic databases, including IMGT/HLA, IPD, and SYEPEITHI. In the second section, Defining HLA Supertypes, authors discuss supertypes of GRID/CPCA and hierarchical clustering methods, Hla-Ad supertypes, MHC supertypes, and Class I Hla Alleles. The third section, Predicting Peptide-MCH Binding, includes discussions of MCH binders, T-Cell epitopes, Class I and II Mouse Major Histocompatibility, and HLA-peptide binding. Within the fourth section, Predicting Other Properties of Immune Systems, investigators outline TAP binding, B-cell epitopes, MHC similarities, and predicting virulence factors of immunological interest.
Immunoinformatics: Predicting Immunogenicity In Silico merges skill sets of the lab-based and the computer-based science professional into one easy-to-use, insightful volume.
Reviews
"Investigators considering problems of recombinant vaccine design, possible host responses, and how to select likely sites from a large pool of information (the protein of interest) will find valuable material here." -Doody's Book Review, Weighted Numerical Score:77 - 3 Stars
"...a value to virtually any investigator in this general field." -Doody's Book Review, Weighted Numerical Score:77 - 3 Stars
"...a valuable addition to libraries in universities and research institutes, R & D firms engaged in the development of vaccines and immunotherapeutics, and clinical research centres." -Immunology news
Editors and Affiliations
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The Jenner Institute, University of Oxford, Berkshire, UK
Darren R. Flower
Bibliographic Information
Book Title: Immunoinformatics
Book Subtitle: Predicting Immunogenicity In Silico
Editors: Darren R. Flower
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-60327-118-9
Publisher: Humana Totowa, NJ
eBook Packages: Springer Protocols
Copyright Information: Humana Press 2007
Hardcover ISBN: 978-1-58829-699-3Published: 21 June 2007
Softcover ISBN: 978-1-61737-725-9Published: 19 November 2010
eBook ISBN: 978-1-60327-118-9Published: 07 February 2008
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XV, 438
Number of Illustrations: 106 b/w illustrations, 5 illustrations in colour
Topics: Bioinformatics, Life Sciences, general, Theory of Computation, Immunology, Human Genetics, Cell Biology