Chapter 7. Vaccines: Computational Solutions

  1. Darren R Flower

Published Online: 24 DEC 2009

DOI: 10.1002/9780470699836.ch7

Bioinformatics for Vaccinology

Bioinformatics for Vaccinology

How to Cite

Flower, D. R. (2008) Vaccines: Computational Solutions, in Bioinformatics for Vaccinology, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470699836.ch7

Author Information

  1. Edward Jenner Institute for Vaccine Research, Compton, Berkshire, UK

Publication History

  1. Published Online: 24 DEC 2009
  2. Published Print: 7 NOV 2008

ISBN Information

Print ISBN: 9780470027110

Online ISBN: 9780470699836

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Keywords:

  • vaccines - computational solutions;
  • bioinformatics and vaccinology challenge;
  • antigen-mediated immunogenicity contribution;
  • perfect vaccine;
  • reverse vaccinology and vaccine discovery;
  • genomic sequences and open reading frames (or ORFs);
  • reverse vaccinology success;
  • vaccine based epitopes and cancer;
  • prediction and personalised medicine

Summary

This chapter contains sections titled:

  • Vaccines and the world

  • Bioinformatics and the challenge for vaccinology

  • Predicting immunogenicity

  • Computational vaccinology

  • The threat remains

  • Beyond empirical vaccinology

  • Designing new vaccines

  • The perfect vaccine

  • Conventional approaches

  • Genome sequences

  • Size of a genome

  • Reverse vaccinology

  • Finding antigens

  • The success of reverse vaccinology

  • Tumour vaccines

  • Prediction and personalised medicine

  • Imperfect data

  • Forecasting and the future of computational vaccinology