Large scale grids for in silico drug discovery open opportunities of particular interest to neglected and emerging diseases. In 2005 and 2006, we have been able to deploy large scale virtual docking within the framework of the WISDOM initiative against malaria and avian influenza requiring about 100 years of CPU on the EGEE, Auvergrid and TWGrid infrastructures. These achievements demonstrated the relevance of large scale grids for the virtual screening by molecular docking. This also allowed evaluating the performances of the grid infrastructures and to identify specific issues raised by large scale deployment.

Grid-enabled high throughput virtual screening / Jacq, N; Breton, V; CHEN H., Y; HO L., Y; Hofmann, M; LEE H., C; Legré, Y; LIN S., C; Maas, A; Medernach, E; Merelli, I; Milanesi, L; Rastelli, Giulio; Reichstadt, M; Salzemann, J; Schwichtenger, H; Sridhar, M; Kasam, V; WU Y., T; Zimmermann, M.. - STAMPA. - 4360:(2007), pp. 45-59. (Intervento presentato al convegno International Workshop on Distributed, High-Performance and Grid Computing in Computational Biology (GCCB 2006) tenutosi a Eliat, ISRAEL nel JAN 21, 2007) [10.1007/978-3-540-69968-2_5].

Grid-enabled high throughput virtual screening

RASTELLI, Giulio;
2007

Abstract

Large scale grids for in silico drug discovery open opportunities of particular interest to neglected and emerging diseases. In 2005 and 2006, we have been able to deploy large scale virtual docking within the framework of the WISDOM initiative against malaria and avian influenza requiring about 100 years of CPU on the EGEE, Auvergrid and TWGrid infrastructures. These achievements demonstrated the relevance of large scale grids for the virtual screening by molecular docking. This also allowed evaluating the performances of the grid infrastructures and to identify specific issues raised by large scale deployment.
2007
International Workshop on Distributed, High-Performance and Grid Computing in Computational Biology (GCCB 2006)
Eliat, ISRAEL
JAN 21, 2007
4360
45
59
Jacq, N; Breton, V; CHEN H., Y; HO L., Y; Hofmann, M; LEE H., C; Legré, Y; LIN S., C; Maas, A; Medernach, E; Merelli, I; Milanesi, L; Rastelli, Giulio; Reichstadt, M; Salzemann, J; Schwichtenger, H; Sridhar, M; Kasam, V; WU Y., T; Zimmermann, M.
Grid-enabled high throughput virtual screening / Jacq, N; Breton, V; CHEN H., Y; HO L., Y; Hofmann, M; LEE H., C; Legré, Y; LIN S., C; Maas, A; Medernach, E; Merelli, I; Milanesi, L; Rastelli, Giulio; Reichstadt, M; Salzemann, J; Schwichtenger, H; Sridhar, M; Kasam, V; WU Y., T; Zimmermann, M.. - STAMPA. - 4360:(2007), pp. 45-59. (Intervento presentato al convegno International Workshop on Distributed, High-Performance and Grid Computing in Computational Biology (GCCB 2006) tenutosi a Eliat, ISRAEL nel JAN 21, 2007) [10.1007/978-3-540-69968-2_5].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/606521
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