SHARE

Autor: Mark Olive, Petra Wilson, Nicolas Jacq, Jean Herveg, Vincent Breton, Tony Solomonides, Alexander Dobrev, Karl A. Stroetmann, Hanene Boussi Rahmouni, Isabelle Andoulsi, Ignacio Blanquer, Veli N. Stroetmann, Yannick Legré, Celine Van Doosselaere, Vicente Hernández

The principal goal of this chapter is to elucidate the future requirements of healthgrids if they are to become the infrastructure of choice for biomedical research and healthcare. These require ments take many forms, technical, organizational and ec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::231ef73ee14df2fbef0e9e3836a45d28
https://doi.org/10.4018/978-1-60566-374-6.ch001

Grid enabled high throughput virtual screening against four different targets implicated in malaria

Autor: Jean, Salzemann, Vinod, Kasam, Nicolas, Jacq, Astrid, Maass, Horst, Schwichtenberg, Vincent, Breton

Publikováno v: Studies in health technology and informatics. 126

After having deployed a first data challenge on malaria and a second one on avian flu, respectively in summer 2005 and spring 2006, we are demonstrating here again how efficiently the computational grids can be used to produce massive docking data at

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::61879cf7d5a4c5ffeb7038dc5f9b7a00
https://pubmed.ncbi.nlm.nih.gov/17476047

Virtual screening on large scale grids

Autor: Hurng-Chun Lee, Horst Schwichtenberg, Ivan Merelli, Luciano Milanesi, Astrid Maaí, Giulio Rastelli, Vinod Kasam, Martin Hofmann, Vincent Breton, Nicolas Jacq, Yannick Legré, Matthieu Reichstadt, Hsin-Yen Chen, Jean Salzemann, Ying-Ta Wu, Li-Yung Ho, Marc Zimmermann, Emmanuel Medernach, Simon Lin

Publikováno v: Parallel Computing
Parallel Computing, Elsevier, 2007, 33, pp.289-301. ⟨10.1016/j.parco.2007.02.010⟩
Parallel Computing, 2007, 33, pp.289-301. ⟨10.1016/j.parco.2007.02.010⟩
Parallel Computing, Elsevier, 2007, 33, pp.289-301. 〈10.1016/j.parco.2007.02.010〉
HAL Clermont Université
Hyper Article en Ligne
OpenAIRE
INRIA a CCSD electronic archive server
Parallel computing 33 (2007): 289–301. doi:10.1016/j.parco.2007.02.010
info:cnr-pdr/source/autori:Jacq, Nicolas; Breton, Vincent; Chen, Hsin-Yen; Ho, Li-Yung; Hofmann, Martin; Kasam, Vinod; Lee, Hurng-Chun; Legre, Yannick; Lin, Simon C.; Maass, Astrid; Medernach, Emmanuel; Merelli, Ivan; Milanesi, Luciano; Rastelli, Giulio; Reichstadt, Matthieu; Salzemann, Jean; Schwichtenberg, Horst; Wu, Ying-Ta; Zimmermann, Marc/titolo:Virtual screening on large scale grids/doi:10.1016%2Fj.parco.2007.02.010/rivista:Parallel computing/anno:2007/pagina_da:289/pagina_a:301/intervallo_pagine:289–301/volume:33

PCSV, article in press in Parallel Computing; 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 withi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e067f12484c450c0170ff7045dce68f9
https://hdl.handle.net/11380/612460

Demonstration of in silico docking at a large scale on grid infrastructure

Autor: Nicolas, Jacq, Jean, Salzemann, Yannick, Legre, Matthieu, Reichstadt, Florence, Jacq, Marc, Zimmermann, Astrid, Maass, Mahendrakar, Sridhar, Kasam, Vinod-Kusam, Horst, Schwichtenberg, Martin, Hofmann, Vincent, Breton

Publikováno v: Studies in health technology and informatics. 120

WISDOM stands for World-wide In Silico Docking On Malaria. First step toward enabling the in silico drug discovery pipeline on a grid infrastructure, this CPU consuming application generating large data flows was deployed successfully on EGEE, the la

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::a76b06a8b5dbbb18aa7733c4cf44f67e
https://pubmed.ncbi.nlm.nih.gov/16823133

Grid-enabled high throughput virtual screening

Autor: Jean Salzemann, Luciano Milanesi, Vincent Breton, Nicolas Jacq, Horst Schwichtenberg, Ivan Merelli, Vinod Kasam, Simon Lin, Martin Hofmann, Yannick Legré, Matthieu Reichstadt, Mahendrakar Sridhar, Giulio Rastelli, Hsin-Yen Chen, Li-Yung Ho, Marc Zimmermann, Ying-Ta Wu, Emmanuel Medernach, Astrid Maaß, H. Lee

Publikováno v: Scopus-Elsevier
Distributed, High-Performance and Grid Computing in Computational Biology
European Conference on Computational Biology, ECCB 2007
European Conference on Computational Biology, ECCB 2007, Jan 2007, Eilat, Israel. pp.45-59, ⟨10.1007/978-3-540-69968-2_5⟩
Studies in Health Technology and Informatics, pp. 45–59. Amsterdam: IOS Press, 2007
info:cnr-pdr/source/autori:Jacq, Nicolas; Breton, Vincent; Chen, Hsin-Yen; Ho, Li-Yung; Hoftmann, Martin; Lee, Hurng-Chun; Legre, Yannick; Lin, Simon C.; Maass, Astrid; Medernach, Emmanuel; Merelli, Ivan; Milanesi, Luciano; Rastelli, Giulio; Reichstadt, Matthieu; Salzemann, Jean; Schwichtenberg, Horst; Sridhar, Mahendrakar; Kasam, Vinod; Wu, Ying-Ta; Zimmermann, Marc/titolo:Grid-enabled high throughput virtual screening/titolo_volume:Studies in Health Technology and Informatics/curatori_volume:/editore: /anno:2007
Lecture Notes in Computer Science ISBN: 9783540698418
Lecture Notes in Computer Science

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 again

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45e50d658ab1e90023d9b8caf81197af
http://www.scopus.com/inward/record.url?eid=2-s2.0-34547482033&partnerID=MN8TOARS