Systems toxicology analysis for MetaCore™ and MetaDrug™

Available on MAC or PC!^*    MS Internet Explorer,  FireFox and  Safari compatible

GeneGo’s ToxHunter is a systems toxicology knowledgebase and data analysis package designed for the assessment of safety liabilities of drugs, environmental contaminants and other xenobiotics at all stages of discovery and development. ToxHunter is available as an add-on for GeneGo MetaCore and MetaDrug^* systems biology and systems pharmacology solutions, and integrates seamlessly with these products for the study of toxicity pathways.

• Comprehensive ontology of histopathology and clinical adverse drug effects, with full-text literature annotation of gene, protein, compound and small molecule biomarker associations to toxicity endpoints in key target organs. Allows investigations at multiple levels of detail for systems toxicology R & D.
• Detailed toxicity content for liver, kidney, heart, lung and other key target organs of toxicity.
• Simple key-word and Boolean searching across toxicity categories for pathology terms, gene, protein or metabolite biomarkers of toxicity.
• Toxicity-focused pathway maps, organized into biological categories relevant to mechanisms of toxicity. Maps cover key modes and mechanisms of toxic action and response.
• Built-in support for commercial microarrays, and automatic translation of common protein and metabolite identifiers. Facilitates analysis of multiple data types independently or in concert.
• New enrichment function for GeneGo Toxicity Biomarker genes gives detailed view of experimental associations to pathological processes.
• Enrichment categories for biological function, disease biomarkers, drug target networks, metabolic networks, and more, provide a comprehensive overview of the effects of compound treatments on biological systems and toxicity pathways.
• Best in class database of molecular interactions (MetaBase™) and multiple tools for experimental comparison, network building, and interactome analysis identify relationships between experimental datasets, illuminate key “hidden hub” controlling factors and facilitate the identification of biomarkers of toxicity.
• QSAR prediction of pathological outcomes from chemical structures.^*
• Easy to use workflows for common systems toxicology queries, and automated report generation tools rapidly translate systems toxicology data into actionable results.

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^*QSAR Models require MetaDrug license and PC