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Bioinformatics in New Generation Flavivirus Vaccines
Flavivirus infections are the most prevalent arthropod-borne infections world wide, often causing severe disease especially among children, the elderly, and the immunocompromised. In the absence of effective antiviral treatment, prevention through vaccination would greatly reduce morbidity and morta...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2867002/ https://www.ncbi.nlm.nih.gov/pubmed/20467477 http://dx.doi.org/10.1155/2010/864029 |
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author | Koraka, Penelope Martina, Byron E. E. Osterhaus, Albert D. M. E. |
author_facet | Koraka, Penelope Martina, Byron E. E. Osterhaus, Albert D. M. E. |
author_sort | Koraka, Penelope |
collection | PubMed |
description | Flavivirus infections are the most prevalent arthropod-borne infections world wide, often causing severe disease especially among children, the elderly, and the immunocompromised. In the absence of effective antiviral treatment, prevention through vaccination would greatly reduce morbidity and mortality associated with flavivirus infections. Despite the success of the empirically developed vaccines against yellow fever virus, Japanese encephalitis virus and tick-borne encephalitis virus, there is an increasing need for a more rational design and development of safe and effective vaccines. Several bioinformatic tools are available to support such rational vaccine design. In doing so, several parameters have to be taken into account, such as safety for the target population, overall immunogenicity of the candidate vaccine, and efficacy and longevity of the immune responses triggered. Examples of how bio-informatics is applied to assist in the rational design and improvements of vaccines, particularly flavivirus vaccines, are presented and discussed. |
format | Text |
id | pubmed-2867002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-28670022010-05-13 Bioinformatics in New Generation Flavivirus Vaccines Koraka, Penelope Martina, Byron E. E. Osterhaus, Albert D. M. E. J Biomed Biotechnol Review Article Flavivirus infections are the most prevalent arthropod-borne infections world wide, often causing severe disease especially among children, the elderly, and the immunocompromised. In the absence of effective antiviral treatment, prevention through vaccination would greatly reduce morbidity and mortality associated with flavivirus infections. Despite the success of the empirically developed vaccines against yellow fever virus, Japanese encephalitis virus and tick-borne encephalitis virus, there is an increasing need for a more rational design and development of safe and effective vaccines. Several bioinformatic tools are available to support such rational vaccine design. In doing so, several parameters have to be taken into account, such as safety for the target population, overall immunogenicity of the candidate vaccine, and efficacy and longevity of the immune responses triggered. Examples of how bio-informatics is applied to assist in the rational design and improvements of vaccines, particularly flavivirus vaccines, are presented and discussed. Hindawi Publishing Corporation 2010 2010-05-10 /pmc/articles/PMC2867002/ /pubmed/20467477 http://dx.doi.org/10.1155/2010/864029 Text en Copyright © 2010 Penelope Koraka et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Koraka, Penelope Martina, Byron E. E. Osterhaus, Albert D. M. E. Bioinformatics in New Generation Flavivirus Vaccines |
title | Bioinformatics in New Generation Flavivirus Vaccines |
title_full | Bioinformatics in New Generation Flavivirus Vaccines |
title_fullStr | Bioinformatics in New Generation Flavivirus Vaccines |
title_full_unstemmed | Bioinformatics in New Generation Flavivirus Vaccines |
title_short | Bioinformatics in New Generation Flavivirus Vaccines |
title_sort | bioinformatics in new generation flavivirus vaccines |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2867002/ https://www.ncbi.nlm.nih.gov/pubmed/20467477 http://dx.doi.org/10.1155/2010/864029 |
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