Innovative in silico approaches to address avian flu using grid technology.
Identifieur interne : 002A92 ( Main/Curation ); précédent : 002A91; suivant : 002A93Innovative in silico approaches to address avian flu using grid technology.
Auteurs : Vincent Breton [France] ; Ana Lucia Da Costa ; Paul De Vlieger ; Young-Min Kim ; Lydia Maigne ; Romain Reuillon ; David Sarramia ; Nam Hai Truong ; Hong Quang Nguyen ; Doman Kim ; Yin-Ta WuSource :
- Infectious disorders drug targets [ 2212-3989 ] ; 2009.
Descripteurs français
- KwdFr :
- Animaux, Grippe chez les oiseaux (), Grippe chez les oiseaux (épidémiologie), Mutation, Oiseaux, Simulation numérique, Sous-type H5N1 du virus de la grippe A (génétique), Sous-type H5N1 du virus de la grippe A (pathogénicité), Surveillance sentinelle, Technologie, Zoonoses (épidémiologie), Épidémiologie moléculaire.
- MESH :
- génétique : Sous-type H5N1 du virus de la grippe A.
- pathogénicité : Sous-type H5N1 du virus de la grippe A.
- épidémiologie : Grippe chez les oiseaux, Zoonoses.
- Animaux, Grippe chez les oiseaux, Mutation, Oiseaux, Simulation numérique, Surveillance sentinelle, Technologie, Épidémiologie moléculaire.
English descriptors
- KwdEn :
- Animals, Birds, Computer Simulation, Influenza A Virus, H5N1 Subtype (genetics), Influenza A Virus, H5N1 Subtype (pathogenicity), Influenza in Birds (epidemiology), Influenza in Birds (prevention & control), Molecular Epidemiology, Mutation, Sentinel Surveillance, Technology, Zoonoses (epidemiology).
- MESH :
- epidemiology : Influenza in Birds, Zoonoses.
- genetics : Influenza A Virus, H5N1 Subtype.
- pathogenicity : Influenza A Virus, H5N1 Subtype.
- prevention & control : Influenza in Birds.
- Animals, Birds, Computer Simulation, Molecular Epidemiology, Mutation, Sentinel Surveillance, Technology.
Abstract
The recent years have seen the emergence of diseases which have spread very quickly all around the world either through human travels like SARS or animal migration like avian flu. Among the biggest challenges raised by infectious emerging diseases, one is related to the constant mutation of the viruses which turns them into continuously moving targets for drug and vaccine discovery. Another challenge is related to the early detection and surveillance of the diseases as new cases can appear just anywhere due to the globalization of exchanges and the circulation of people and animals around the earth, as recently demonstrated by the avian flu epidemics. For 3 years now, a collaboration of teams in Europe and Asia has been exploring some innovative in silico approaches to better tackle avian flu taking advantage of the very large computing resources available on international grid infrastructures. Grids were used to study the impact of mutations on the effectiveness of existing drugs against H5N1 and to find potentially new leads active on mutated strains. Grids allow also the integration of distributed data in a completely secured way. The paper proposes new approaches for the integration of existing data sources towards a global surveillance network for molecular epidemiology and in silico drug discovery.
DOI: 10.2174/1871526510909030358
PubMed: 19519488
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pubmed:19519488Le document en format XML
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<term>Influenza A Virus, H5N1 Subtype (pathogenicity)</term>
<term>Influenza in Birds (epidemiology)</term>
<term>Influenza in Birds (prevention & control)</term>
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<term>Grippe chez les oiseaux (épidémiologie)</term>
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<term>Simulation numérique</term>
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<term>Sous-type H5N1 du virus de la grippe A (pathogénicité)</term>
<term>Surveillance sentinelle</term>
<term>Technologie</term>
<term>Zoonoses (épidémiologie)</term>
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<front><div type="abstract" xml:lang="en">The recent years have seen the emergence of diseases which have spread very quickly all around the world either through human travels like SARS or animal migration like avian flu. Among the biggest challenges raised by infectious emerging diseases, one is related to the constant mutation of the viruses which turns them into continuously moving targets for drug and vaccine discovery. Another challenge is related to the early detection and surveillance of the diseases as new cases can appear just anywhere due to the globalization of exchanges and the circulation of people and animals around the earth, as recently demonstrated by the avian flu epidemics. For 3 years now, a collaboration of teams in Europe and Asia has been exploring some innovative in silico approaches to better tackle avian flu taking advantage of the very large computing resources available on international grid infrastructures. Grids were used to study the impact of mutations on the effectiveness of existing drugs against H5N1 and to find potentially new leads active on mutated strains. Grids allow also the integration of distributed data in a completely secured way. The paper proposes new approaches for the integration of existing data sources towards a global surveillance network for molecular epidemiology and in silico drug discovery.</div>
</front>
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