R. W. Spencer, High-throughput screening of historic collections: Observations on file size, biological targets, and file diversity, Biotechnology and Bioengineering, vol.245, issue.1, pp.61-67, 1998.
DOI : 10.1002/(SICI)1097-0290(199824)61:1<61::AID-BIT11>3.0.CO;2-C

R. Buyya, K. Branson, J. Giddy, and D. Abramson, The Virtual Laboratory

A. Chien, I. Foster, and D. Goddette, Grid technologies empowering drug discovery, Drug Discovery Today, vol.7, issue.20, pp.176-180, 2002.
DOI : 10.1016/S1359-6446(02)02369-3

G. Aristegui, D. J. Mendez-lorenzo, P. Valverde, and J. R. , GROCK: high-throughput docking using LCG grid tools, The 6th IEEE/ACM International Workshop on Grid Computing, 2005., pp.85-90, 2005.
DOI : 10.1109/GRID.2005.1542728

W. Sudholt, K. K. Baldridge, D. Abramson, C. Enticott, S. Garic et al., Application of grid computing to parameter sweeps and optimizations in molecular modeling, Future Generation Computer Systems, vol.21, issue.1, pp.27-35, 2005.
DOI : 10.1016/j.future.2004.09.010

G. Richards and W. , Innovation: Virtual screening using grid computing: the screensaver project, Nature Reviews Drug Discovery, vol.1, issue.7, pp.551-555, 2002.
DOI : 10.1038/nrd841

M. C. Peitsch, Informatics and knowledge management at the Novartis Institutes for BioMedical Research. SCIP-online, pp.1-4, 2004.

V. Breton, M. Hofmann, and N. Jacq, Grid added value to address malaria, Proceedings of the 6-th IEEE/ACM CCGrid conference, 2006.
DOI : 10.1109/ccgrid.2006.1630933

URL : https://hal.archives-ouvertes.fr/in2p3-00114048

T. Silvestre and V. Breton, Grid as a bioinformatics tool, Parallel Computing, vol.30, pp.1093-1107, 2004.

S. Campana, Analysis of the ATLAS Rome Production Experience on the LHC Computing Grid, First International Conference on e-Science and Grid Computing (e-Science'05), 2005.
DOI : 10.1109/E-SCIENCE.2005.18

I. Bird, Operating the LCG and EGEE production Grids for HEP, Proceedings of the CHEP'04 Conference, 2004.

S. F. Altschul, W. Gish, W. Miller, E. W. Myers, and D. J. Lipman, Basic local alignment search tool, Journal of Molecular Biology, vol.215, issue.3, pp.403-410, 1990.
DOI : 10.1016/S0022-2836(05)80360-2

D. Sulakhe, GNARE: an environment for grid-based high-throughput genome analysis, CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005., 2005.
DOI : 10.1109/CCGRID.2005.1558590

M. Taufer, Predictor@Home: A "Protein Structure Prediction Supercomputer" Based on Public-Resource Computing, 19th IEEE International Parallel and Distributed Processing Symposium, pp.786-796, 2006.
DOI : 10.1109/IPDPS.2005.357

M. Stefan, Folding@Home and Genome@Home: Using distributed computing to tackle previously intractable problems in computational biology, Computational Genomics, 2002.

A. Chien, Grid technologies empowering drug discovery, Drug Discovery Today, vol.7, issue.20, pp.176-180, 2002.
DOI : 10.1016/S1359-6446(02)02369-3

R. Ziegler, Pharma GRIDs: Key to Pharmaceutical Innovation ?, Proceedings of the HealthGrid conference, 2004.

J. Weisner, R. Ortmann, H. Jomaa, and M. Schlitzer, New Antimalarial Drugs, Angewandte Chemie International Edition, vol.42, issue.43, pp.5274-529, 2003.
DOI : 10.1002/anie.200200569

G. H. Coombs, D. E. Goldberg, M. Klemba, C. Berry, J. Kay et al., Aspartic proteases of Plasmodium falciparum and other parasitic protozoa as drug targets, Trends in Parasitology, vol.17, issue.11, pp.532-537, 2001.
DOI : 10.1016/S1471-4922(01)02037-2

J. W. Erickson, Structure and inhibition of plasmepsin II, A haemoglobin degrading enzyme from Plasmodium falciparum, Proc. Natl. Acad. Sci. USA 93, pp.10034-10039, 1996.

F. Gagliardi, B. Jones, F. Grey, M. E. Bégin, and M. Heikkurinen, Building an infrastructure for scientific Grid computing: status and goals of the EGEE project, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.363, issue.1833, pp.1729-1742, 2005.
DOI : 10.1098/rsta.2005.1603

R. Raman, M. Livny, and M. Solomon, Matchmaking: distributed resource management for high throughput computing, Proceedings. The Seventh International Symposium on High Performance Distributed Computing (Cat. No.98TB100244), 2003.
DOI : 10.1109/HPDC.1998.709966

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

M. Rarey, B. Kramer, T. Lengauer, and G. Klebe, A Fast Flexible Docking Method using an Incremental Construction Algorithm, Journal of Molecular Biology, vol.261, issue.3, pp.470-489, 1996.
DOI : 10.1006/jmbi.1996.0477

G. M. Morris, D. S. Goodsell, R. S. Halliday, R. Huey, W. E. Hart et al., Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function, Journal of Computational Chemistry, vol.4, issue.14, pp.1639-1662, 1998.
DOI : 10.1002/(SICI)1096-987X(19981115)19:14<1639::AID-JCC10>3.0.CO;2-B