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OpenTox is a modern predictive toxicology framework under development [10].
The OpenTox project provides a API definition for a predictive toxicology framework, a publicly available dataset service is for example the AMBIT web service [14].
The Open Source Predictive Toxicology Framework, developed by the partners in the EC FP7 OpenTox project, aims at providing a unified access to toxicity data and predictive models, as well as validation procedures.
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Initial toxicology model.
In the framework of toxicology, a testing strategy can be viewed as a series of steps which are taken to come to a final prediction about a characteristic of a compound under study.
These two parallel tracks of research have been important in constructing a conceptual framework for toxicology that can be used to support risk assessment and public health decisions; however, these have a few significant drawbacks.
Developing an interoperable and extensible data governance framework for predictive toxicology is crucial and highly required.
This work provides a perspective on the growing significance of collaborative approaches in predictive toxicology to create the OpenTox Framework as a public standards-based interoperable platform.
We will then offer our perspective on how to apply a framework derived from toxicology and ecology towards designing improved personalized in vitro models of cancer.
Therefore, we developed a toxicological pathogen conceptual paradigm as a framework for integrating toxicology and infectious disease research and theory.
However, despite emerging consensus that such a holistic approach is essential to provide the framework of predictive toxicology, the number of successful case studies is still minuscule [ 7- 9].
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