%0 Journal Article %1 stevens04a %A Stevens, Robert %A Mcentire, Robin %A Goble, Carole %A Greenwood, Mark %A Zhao, Jun %A Wipat, Anil %A Li, Peter %D 2004 %J Drug Discovery Today: BIOSILICO %K grid bioinformatics %N 4 %P 140--148 %R 10.1016/S1741-8364(04)02412-6 %T myGrid and the drug discovery process %U http://www.sciencedirect.com/science/article/B75M9-4CT5FC2-3/2/f2b919c5e7c55a9f7a3eb28110667db3 %V 2 %X In its early development, Grid computing has focused on providing the computational power necessary for solving computationally intensive scientific problems. However, the scientific process in the life sciences is less demanding on computational power but contains a high degree of inherent heterogeneity, and semantic and task complexity. The myGrid project has developed a Grid-enabled middleware framework to manage this complexity associated with the scientific process within the bioinformatics domain. The drug discovery process is an example of a complex scientific problem that involves managing vast amounts of information. The technology developed by the myGrid project is applicable for managing many aspects of drug discovery and development by leveraging its technology for data storage, workflow enactment, change event notification, resource discovery and provenance management.

@article{stevens04a, abstract = {In its early development, Grid computing has focused on providing the computational power necessary for solving computationally intensive scientific problems. However, the scientific process in the life sciences is less demanding on computational power but contains a high degree of inherent heterogeneity, and semantic and task complexity. The myGrid project has developed a Grid-enabled middleware framework to manage this complexity associated with the scientific process within the bioinformatics domain. The drug discovery process is an example of a complex scientific problem that involves managing vast amounts of information. The technology developed by the myGrid project is applicable for managing many aspects of drug discovery and development by leveraging its technology for data storage, workflow enactment, change event notification, resource discovery and provenance management.}, added-at = {2006-09-18T06:26:07.000+0200}, author = {Stevens, Robert and Mcentire, Robin and Goble, Carole and Greenwood, Mark and Zhao, Jun and Wipat, Anil and Li, Peter}, biburl = {https://www.bibsonomy.org/bibtex/282c1e06566ae310482673e62e8ca47b2/neilernst}, citeulike-article-id = {678650}, description = {Not previously uploaded}, doi = {10.1016/S1741-8364(04)02412-6}, interhash = {e48d2c06459cd186eced0f6c016d6d87}, intrahash = {82c1e06566ae310482673e62e8ca47b2}, journal = {Drug Discovery Today: BIOSILICO}, keywords = {grid bioinformatics}, month = {July}, number = 4, pages = {140--148}, priority = {0}, timestamp = {2006-09-18T06:26:07.000+0200}, title = {myGrid and the drug discovery process}, url = {http://www.sciencedirect.com/science/article/B75M9-4CT5FC2-3/2/f2b919c5e7c55a9f7a3eb28110667db3}, volume = 2, year = 2004 }