Generating Modeling Data From Repeat-Dose Toxicity Reports.

ABSTRACT: Over the past decades, pharmaceutical companies have conducted a large number of high-quality in vivo repeat-dose toxicity (RDT) studies for regulatory purposes. As part of the eTOX project, a high number of these studies have been compiled and integrated into a database. This valuable resource can be queried directly, but it can be further exploited to build predictive models. As the studies were originally conducted to investigate the properties of individual compounds, the experimental conditions across the studies are highly heterogeneous. Consequently, the original data required normalization/standardization, filtering, categorization and integration to make possible any data analysis (such as building predictive models). Additionally, the primary objectives of the RDT studies were to

SUBMITTER: Lopez-Massaguer O 

PROVIDER: S-EPMC5837688 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature