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Immunoinformatics – Predicting Immunogenicity In Silico


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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 intofour sections.
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
Autor: Darren R. Flower
Editorial: Humana Press
Edición: 1ª
Año: 2007
Páginas: 438
ISBN-10: 1588296997
ISBN-13: 978-1588296993
Idioma: Inglés

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