A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
TIMES-SS - A Promising Tool for the Assessment of Skin Sensitisation Hazard - A Charcaterisation with Respect to the OECD Validation Principles for (Q)SARs and an External Evaluation for Predictivity
The TImes MEtabolism Simulator platform used for predicting Skin Sensitization (TIMES-SS) is a hybrid expert system that was developed at Bourgas University using funding and data from a Consortium comprising industry and regulators. The model was developed with the aim of minimizing animal testing and to be scientifically valid in accordance with the OECD principles for (Q)SAR validation. TIMES-SS encodes structure-toxicity and structure-skin metabolism relationships through a number of transformations, some of which are underpinned by mechanistic 3D QSARs. Here we describe the extent to which the five OECD principles are met and in particular the results from an external evaluation exercise that was recently carried out. As part of this exercise, data were generated for 40 new chemicals in the murine Local Lymph Node Assay (LLNA) and then compared with predictions made by TIMES-SS. The results were promising with an overall good concordance (83%) between experimental and predicted values. Further evaluation of these results highlighted certain inconsistencies which were rationalized by a consideration of reaction chemistry principles for sensitization. Improvements for TIMES-SS were proposed where appropriate. TIMES-SS is a promising tool to aid in the evaluation of skin sensitization hazard under legislative programs such as REACH. ; JRC.I.3-Toxicology and chemical substances
TIMES-SS - A Promising Tool for the Assessment of Skin Sensitisation Hazard - A Charcaterisation with Respect to the OECD Validation Principles for (Q)SARs and an External Evaluation for Predictivity
The TImes MEtabolism Simulator platform used for predicting Skin Sensitization (TIMES-SS) is a hybrid expert system that was developed at Bourgas University using funding and data from a Consortium comprising industry and regulators. The model was developed with the aim of minimizing animal testing and to be scientifically valid in accordance with the OECD principles for (Q)SAR validation. TIMES-SS encodes structure-toxicity and structure-skin metabolism relationships through a number of transformations, some of which are underpinned by mechanistic 3D QSARs. Here we describe the extent to which the five OECD principles are met and in particular the results from an external evaluation exercise that was recently carried out. As part of this exercise, data were generated for 40 new chemicals in the murine Local Lymph Node Assay (LLNA) and then compared with predictions made by TIMES-SS. The results were promising with an overall good concordance (83%) between experimental and predicted values. Further evaluation of these results highlighted certain inconsistencies which were rationalized by a consideration of reaction chemistry principles for sensitization. Improvements for TIMES-SS were proposed where appropriate. TIMES-SS is a promising tool to aid in the evaluation of skin sensitization hazard under legislative programs such as REACH. ; JRC.I.3-Toxicology and chemical substances
TIMES-SS - A Promising Tool for the Assessment of Skin Sensitisation Hazard - A Charcaterisation with Respect to the OECD Validation Principles for (Q)SARs and an External Evaluation for Predictivity
TIER GRACE (author) / DIMITROV S (author) / LOW L (author) / KERN PETRA (author) / DIMITROVA G (author) / COMBER M (author) / APTULA Aynur (author) / PHILLIPS R (author) / NIEMELA J (author) / MADSEN Charlotte (author)
2007-04-11
Miscellaneous
Electronic Resource
English
DDC:
690
Dendritic Cells as a Tool for the Predictive Identification of Skin Sensitisation Hazard
| BASE | 2005
Natural history collections as sensitisation tool to sustainable development
| British Library Conference Proceedings | 2008
On the predictivity of pore-scale simulations: Estimating uncertainties with multilevel Monte Carlo
| British Library Online Contents | 2016
On the predictivity of pore-scale simulations: Estimating uncertainties with multilevel Monte Carlo
| British Library Online Contents | 2016
On the predictivity of pore-scale simulations: Estimating uncertainties with multilevel Monte Carlo
| British Library Online Contents | 2016