In silico epitope prediction for meningococcal vaccine development (Paperback)

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The majority of invasive meningococcal disease in developed countries is caused by Neisseria meningitidis with a serogroup B capsule. Despite, the availability of vaccines for other serogroups since the 1960s, no broadly effective vaccine has been developed for prevention of meningococcal serogroup B disease. However, with the increasing availability of microbial genome sequence information along with the recent advancements in the field of bioinformatics, it is now possible to identify potential protein targets of immune response that would certainly be useful in reducing the time and cost involved in the traditional study of immunology. With this in mind, this book comprehensively illustrates the utility of existing computational resources for in silico epitope prediction and immune system modeling with special reference to N. meningitidis serogroup B vaccine development.

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Product Description

The majority of invasive meningococcal disease in developed countries is caused by Neisseria meningitidis with a serogroup B capsule. Despite, the availability of vaccines for other serogroups since the 1960s, no broadly effective vaccine has been developed for prevention of meningococcal serogroup B disease. However, with the increasing availability of microbial genome sequence information along with the recent advancements in the field of bioinformatics, it is now possible to identify potential protein targets of immune response that would certainly be useful in reducing the time and cost involved in the traditional study of immunology. With this in mind, this book comprehensively illustrates the utility of existing computational resources for in silico epitope prediction and immune system modeling with special reference to N. meningitidis serogroup B vaccine development.

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Product Details

General

Imprint

Lap Lambert Academic Publishing

Country of origin

Germany

Release date

May 2012

Availability

Expected to ship within 10 - 15 working days

First published

June 2012

Authors

,

Dimensions

229 x 152 x 4mm (L x W x T)

Format

Paperback - Trade

Pages

60

ISBN-13

978-3-659-13143-1

Barcode

9783659131431

Categories

LSN

3-659-13143-1



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