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Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines

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Table of Contents

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    Book Overview
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    Chapter 1 Immunomic Discovery of Adjuvants, Delivery Systems, and Candidate Subunit Vaccines: A Brief Introduction
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    Chapter 2 Bacterial Genomes and Vaccine Design
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    Chapter 3 Identification of Candidate Vaccine Antigens In Silico
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    Chapter 4 Post-genomic Antigen Discovery: Bioinformatical Approaches to Reveal Novel T Cell Antigens of Mycobacterium bovis
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    Chapter 5 Genome-Based Computational Vaccine Discovery by Reverse Vaccinology
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    Chapter 6 Computational Prediction of Protein Subcellular Localization, Genomic Islands, and Virulence to Aid Antigen Discovery
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    Chapter 7 On the Development of Vaccine Antigen Databases: Progress, Opportunity, and Challenge
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    Chapter 8 What Have Dendritic Cells Ever Done for Adjuvant Design? Cellular and Molecular Methods for the Rational Development of Vaccine Adjuvants
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    Chapter 9 Towards the Systematic Discovery of Immunomodulatory Adjuvants
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    Chapter 10 Designing Liposomes as Vaccine Adjuvants
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    Chapter 11 Designing Nonionic Surfactant Vesicles for the Delivery of Antigens for Systemic and Alternative Delivery Routes
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    Chapter 12 Immune Stimulating Complexes (ISCOMs) and Quil-A Containing Particulate Formulations as Vaccine Delivery Systems
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    Chapter 13 Formulation and Characterisation of PLGA Microspheres as Vaccine Adjuvants
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    Chapter 14 Powder Vaccines for Pulmonary Delivery
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Title
Immunomic Discovery of Adjuvants and Candidate Subunit Vaccines
Published by
Springer-Verlag New York, September 2012
DOI 10.1007/978-1-4614-5070-2
ISBNs
978-1-4614-5069-6, 978-1-4614-5070-2, 978-1-4899-9795-1
Authors

Flower, Darren R, Perrie, Yvonne, Edwards, Alexander D.

Editors

Darren R. Flower, Yvonne Perrie

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 4%
United Kingdom 1 2%
United States 1 2%
Unknown 47 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Researcher 9 18%
Student > Bachelor 7 14%
Student > Master 7 14%
Other 5 10%
Other 3 6%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 39%
Biochemistry, Genetics and Molecular Biology 8 16%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Immunology and Microbiology 2 4%
Medicine and Dentistry 2 4%
Other 6 12%
Unknown 9 18%