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portada immunoinformatics: predicting immunogenicity in silico
Type
Physical Book
Illustrated by
Publisher
Author
Year
2010
Language
English
Pages
438
Format
Paperback
Dimensions
22.9x15.2x2.4 cm
Weight
0.61 kg.
ISBN
1617377252
ISBN13
9781617377259
Categories

immunoinformatics: predicting immunogenicity in silico

Darren R. Flower (Illustrated by) · Humana · Paperback

immunoinformatics: predicting immunogenicity in silico - Flower, Darren R.

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Synopsis "immunoinformatics: predicting immunogenicity in silico"

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.

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