In silico epitope prediction for meningococcal vaccine development

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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.

Autorentext

Namrata Misra received her Masters in Bioinformatics from Banaras Hindu University in 2009. Presently, she is pursuing her Doctoral research at Institute of Minerals and Materials Technology. Namrata Misra's current research interest is in the area of evolutionary and comparative genomics of microalgae with special reference to biofuel production

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659131431
    • Sprache Englisch
    • Auflage Aufl.
    • Größe H3mm x B220mm x T150mm
    • Jahr 2012
    • EAN 9783659131431
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-659-13143-1
    • Titel In silico epitope prediction for meningococcal vaccine development
    • Autor Namrata Misra , Prasanna Kumar Panda
    • Untertitel Immunoinformatics approach to T-cell epitope prediction for the potential Iron acquisition proteins of N. meningitidis
    • Gewicht 97g
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 60
    • Genre Informatik

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