Methods in Molecular Biology

Immunoinformatics

Predicting Immunogenicity In Silico

Editors: Flower, Darren R. (Ed.)

  • 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
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eBook $139.00
price for USA (gross)
  • ISBN 978-1-60327-118-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-1-58829-699-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
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  • ISBN 978-1-61737-725-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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


Table of contents (31 chapters)

  • Immunoinformatics and the in Silico Prediction of Immunogenicity

    Flower, Darren R.

    Pages 1-15

  • IMGT®, the International ImmunoGeneTics Information System® for Immunoinformatics

    Lefranc, Marie-Paule

    Pages 19-42

  • The IMGT/HLA Database

    Robinson, James (et al.)

    Pages 43-60

  • IPD

    Robinson, James (et al.)

    Pages 61-74

  • SYFPEITHI

    Schuler, Mathias M. (et al.)

    Pages 75-93

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-1-60327-118-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-1-58829-699-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • ISBN 978-1-61737-725-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Immunoinformatics
Book Subtitle
Predicting Immunogenicity In Silico
Editors
  • Darren R. Flower
Series Title
Methods in Molecular Biology
Series Volume
409
Copyright
2007
Publisher
Humana Press
Copyright Holder
Humana Press
eBook ISBN
978-1-60327-118-9
DOI
10.1007/978-1-60327-118-9
Hardcover ISBN
978-1-58829-699-3
Softcover ISBN
978-1-61737-725-9
Series ISSN
1064-3745
Edition Number
1
Number of Pages
XV, 438
Number of Illustrations and Tables
106 b/w illustrations, 5 illustrations in colour
Topics