Immunoinformatics : Predicting Immunogenicity in Silico Hardback
Edited by Darren R. Flower
Part of the Methods in Molecular Biology series
Hardback
Description
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.
Information
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Item not Available
- Format:Hardback
- Pages:438 pages, 30 Tables, black and white; 5 Illustrations, color; 106 Illustrations, black and white; X
- Publisher:Humana Press Inc.
- Publication Date:21/06/2007
- Category:
- ISBN:9781588296993
Information
-
Item not Available
- Format:Hardback
- Pages:438 pages, 30 Tables, black and white; 5 Illustrations, color; 106 Illustrations, black and white; X
- Publisher:Humana Press Inc.
- Publication Date:21/06/2007
- Category:
- ISBN:9781588296993
