Exploiting large-scale drug-protein interaction information for computational drug repurposing.
dc.contributor.author | Liu, Ruifeng | |
dc.contributor.author | Singh, Narender | |
dc.contributor.author | Tawa, Gregory J | |
dc.contributor.author | Wallqvist, Anders | |
dc.contributor.author | Reifman, Jaques | |
dc.date.accessioned | 2020-02-07T13:34:46Z | |
dc.date.available | 2020-02-07T13:34:46Z | |
dc.date.issued | 2014-07-03 | |
dc.description.abstract | Despite increased investment in pharmaceutical research and development fewer and fewer new drugs are entering the marketplace This has prompted studies in repurposing existing drugs for use against diseases with unmet medical needs A popular approach is to develop a classification model based on drugs with and without a desired therapeutic effect For this approach to be statistically sound it requires a large number of drugs in both classes However given few or no approved drugs for the diseases of highest medical urgency and interest different strategies need to be investigated | |
dc.identifier.uri | http://dx.doi.org/10.1186/1471-2105-15-210 | |
dc.identifier.uri | https://lib.digitalsquare.io/xmlui/handle/123456789/14911 | |
dc.relation.uri | BMC bioinformatics | |
dc.title | Exploiting large-scale drug-protein interaction information for computational drug repurposing. | en |
dcterms.abstract | Despite increased investment in pharmaceutical research and development fewer and fewer new drugs are entering the marketplace This has prompted studies in repurposing existing drugs for use against diseases with unmet medical needs A popular approach is to develop a classification model based on drugs with and without a desired therapeutic effect For this approach to be statistically sound it requires a large number of drugs in both classes However given few or no approved drugs for the diseases of highest medical urgency and interest different strategies need to be investigated | |
dcterms.contributor | Liu, Ruifeng | |
dcterms.contributor | Singh, Narender | |
dcterms.contributor | Tawa, Gregory J | |
dcterms.contributor | Wallqvist, Anders | |
dcterms.contributor | Reifman, Jaques | |
dcterms.identifier | http://dx.doi.org/10.1186/1471-2105-15-210 | |
dcterms.relation | BMC bioinformatics | |
dcterms.title | Exploiting large-scale drug-protein interaction information for computational drug repurposing. | en |