IPA-Tox® is a data analysis capability within IPA that delivers a focused toxicity and safety assessment of candidate compounds that are being examined using toxicogenomics approaches.
- Analysis workflows: Analysis of gene expression, microarray, qPCR, proteomics, and metabolomics data.
- IPA-Tox reveals biological mechanisms that are related to toxicity on a molecular, cellular, and biochemical level to help you confidently identify toxic compounds quickly and early in the discovery process, as well as establish toxicogenomics databases for predictive toxicology.
- Though designed for data analysis, all IPA-Tox content can also be accessed through search and information gathering workflows, enabling researchers to scrutinize hypotheses generated from pre-clinical assays in the context of evidence from the literature and additional toxicogenomics data (protein levels, metabolite levels).
- Helps inform decisions related to lead compound optimization
- Efficiently delivers detailed mechanistic hypotheses underlying tox-specific phenotypes
- Contains pathway content and molecule-to-phenotype associations that accelerate the interpretation of toxicogenomics data and the generation of reports summarizing findings from toxicity studies
- Enables multi-disciplinary toxicology groups to build a toxicogenomics database
- Provides rapid insights into candidate tissue-specific biomarkers through fully integrated IPA biomarker capabilities
- Provides expert molecular toxicology data interpretation to non-expert users
- Generates new molecular hypotheses that may not have been revealed using traditional toxicology approaches
- Provides evidence to support or reject hypotheses generated from pre-clinical toxicity assays
- Allows easy access to important findings from the scientific literature, including information associated with cardiotoxicity, nephrotoxicity, and hepatotoxicity