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Immunoinformatics: Predicting Immunogenicity In Silico: 409 (Methods in Molecular Biology, 409) - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
Review
"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
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Immunoinformatics (eng)
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Immunoinformatics: Predicting Immunogenicity In Silico (Methods in Molecular Biology, 409)
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Immunoinformatics: Predicting Immunogenicity in Silico
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SPRINGER NATURE Nov 2010, 2010
ISBN 10: 1617377252
ISBN 13: 9781617377259
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology. It addresses databases, HLA supertypes, MCH binding, and other properties of immune systems. The book contains chapters written by leaders in the field and provides a firm background for anyone working in immunoinformatics in one easy-to-use, insightful volume. 438 pp. Englisch. Seller Inventory # 9781617377259
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Immunoinformatics: Predicting Immunogenicity in Silico
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses databases, HLA supertypes, MCH binding, and other properties of immune systemsA firm background for anyone working in immunoinformaticsChapters written by leaders in the fieldThis volume both engages the reader and prov. Seller Inventory # 458521582
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Immunoinformatics
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Humana Press Inc., 2010
ISBN 10: 1617377252
ISBN 13: 9781617377259
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Condition: New. Editor(s): Flower, Darren R. Series: Methods in Molecular Biology. Num Pages: 438 pages, 106 black & white illustrations, 5 colour illustrations, 30 black & white tables, biograp. BIC Classification: MFN; MJCM; PSA; PSF. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 26. Weight in Grams: 671. . 2010. 1st ed. Softcover of orig. ed. 2007. Paperback. . . . . Seller Inventory # V9781617377259
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Immunoinformatics | Predicting Immunogenicity in Silico
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Taschenbuch. Condition: Neu. Immunoinformatics | Predicting Immunogenicity in Silico | Darren R Flower | Taschenbuch | xv | Englisch | 2010 | Humana Press | EAN 9781617377259 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 107146377
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Immunoinformatics : Predicting Immunogenicity in Silico
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9781617377259
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Immunoinformatics
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Immunoinformatics
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