Profiling animal toxicants by automatically mining public bioassay data: a big data approach for computational toxicology.

ABSTRACT: In vitro bioassays have been developed and are currently being evaluated as potential alternatives to traditional animal toxicity models. Already, the progress of high throughput screening techniques has resulted in an enormous amount of publicly available bioassay data having been generated for a large collection of compounds. When a compound is tested using a collection of various bioassays, all the testing results can be considered as providing a unique bio-profile for this compound, which records the responses induced when the compound interacts with different cellular systems or biological targets. Profiling compounds of environmental or pharmaceutical interest using useful toxicity bioassay data is a promising method to study complex animal toxicity. In this study, we developed an au

SUBMITTER: Zhang J 

PROVIDER: S-EPMC4064997 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature