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Communication Dans Un Congrès Année : 2006

Grid-enabled high throughput in-silico screening against influenza A neuraminidase

H.-C. Lee
  • Fonction : Auteur
L.-Y. Ho
  • Fonction : Auteur
H.-Y. Chen
  • Fonction : Auteur
I. Merelli
  • Fonction : Auteur
L. Milanesi
  • Fonction : Auteur
S. C. Lin
  • Fonction : Auteur
Y.-T. Wu
  • Fonction : Auteur

Résumé

Encouraged by the success of first EGEE biomedical data challenge against malaria[1], the second data challenge was kicked off in April, 2006, fighting against avian flu. In the paper, we demonstrated how to adopt a world-wide deployed Grid infrastructure to efficiently produce a large scale virtual screening to speed up the drug design process. The 6-weeks activity of molecular docking on the Grid has covered over 100 years of computing power required for discovering new drug for avian flu. Around 600 Gigabytes of output has also been produced and archived on the Grid for further biological analysis and test.
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Dates et versions

in2p3-00114348 , version 1 (16-11-2006)

Identifiants

  • HAL Id : in2p3-00114348 , version 1

Citer

H.-C. Lee, J. Salzemann, N. Jacq, L.-Y. Ho, H.-Y. Chen, et al.. Grid-enabled high throughput in-silico screening against influenza A neuraminidase. NETTAB 2006, Network Tools and Applications in Biology - A series of workshops in Bioinformatics Distributed. Applications, Web Services, Tools and GRID Infrastructures for Bioinformatics, Jul 2006, Santa Margherita di Pula, Italy. ⟨in2p3-00114348⟩
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