In today`s pharmaceutical R&D, about 90% of compounds that enter pharmaceutical development never reach the market. Most of these compounds fail because toxicity and safety issues are identified late in the clinical research process, with most investments already made.
To address this crucial problem, Predictive Systems Toxicology is emerging as a new field within toxicology in pharmaceutical R&D. It requires a highly automated computational system to identify potential toxic effects before expensive clinical research even starts.
Genedata ToxPedia matches the needs of Predictive Systems Toxicology. It helps to identify a compound`s potential toxicity early in the preclinical research phase, and thus reduces the expenses caused by late stage attrition in clinical development.
ToxPedia integratively analyzes the large-scale experimental data sets generated in modern toxicological research to identify compound toxicity at the molecular level. The solution processes molecular omics data together with histopathology, physiology, clinical chemistry, stressor and conventional toxicology information (generally called “phenotypic anchors”).
The following components make part of ToxPedia:
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