In silico approaches to explore toxicity end points: issues and concerns for estimating human health effects
The European Chemicals Bureau and the Organisation for Economic Cooperation and Development are currently compiling a sanctioned list of quantitative structure-activity relationship (QSAR) risk assessment models and data sets to predict the physiological properties, environmental fate, ecological ef...
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| Veröffentlicht in: | Expert opinion on drug metabolism & toxicology 2007-02, Vol.3 (1), p.125-134 |
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| container_title | Expert opinion on drug metabolism & toxicology |
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| creator | Matthews, Edwin J Contrera, Joseph F |
| description | The European Chemicals Bureau and the Organisation for Economic Cooperation and Development are currently compiling a sanctioned list of quantitative structure-activity relationship (QSAR) risk assessment models and data sets to predict the physiological properties, environmental fate, ecological effects and human health effects of new and existing chemicals in commerce in the European Union. This action implements the technical requirements of the European Commission s Registration, Evaluation and Authorisation of Chemicals legislation. The goal is to identify a battery of QSARs that can furnish rapid, reliable and cost-effective decision support information for regulatory decisions that can substitute for results from animal studies. This report discusses issues and concerns that need to be addressed when selecting QSARs to predict human health effect end points. |
| doi_str_mv | 10.1517/17425255.3.1.125 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1742-5255 |
| ispartof | Expert opinion on drug metabolism & toxicology, 2007-02, Vol.3 (1), p.125-134 |
| issn | 1742-5255 1744-7607 |
| language | eng |
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| source | MEDLINE; Taylor & Francis Medical Library - CRKN; Taylor & Francis Journals Complete |
| subjects | Animal Testing Alternatives - methods Animal Testing Alternatives - standards Animals computational toxicology Computer Simulation Drug-Related Side Effects and Adverse Reactions Guidelines as Topic human health effect Humans Models, Biological Pharmaceutical Preparations - chemistry predictive modeling Public Health Quantitative Structure-Activity Relationship quantitative structure-activity relationships Risk Assessment - methods weight of evidence |
| title | In silico approaches to explore toxicity end points: issues and concerns for estimating human health effects |
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