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Comparison of Cramer classification between Toxtree, the OECD QSAR Toolbox and expert judgment
Sneha Bhatia1, Terry Schultz2, David Roberts3
1Research Institute for Fragrance Materials, Inc., 50 Tice Blvd., Woodcliff Lake, NJ 07677, USA.
Accurate Cramer classification is vital for chemical risk assessment. This study found discrepancies between computational tools and expert judgment, highlighting the need for careful evaluation of fragrance material safety.
Area of Science:
- Toxicology
- Computational Chemistry
- Risk Assessment
Background:
- The Threshold of Toxicological Concern (TTC) provides exposure limits for chemicals lacking safety data.
- The Cramer decision tree categorizes chemicals into classes to establish TTC values.
- Accurate Cramer class assignment is essential for reliable risk assessment.
Purpose of the Study:
- To evaluate the accuracy of computational tools in assigning Cramer classes for fragrance materials.
- To compare the performance of Toxtree and the OECD QSAR Toolbox against expert judgment.
- To identify challenges and provide guidance for Cramer classification of diverse chemical structures.
Main Methods:
- Cramer classification of over 1000 fragrance materials using Toxtree, OECD QSAR Toolbox, and expert judgment.
- Quantitative comparison of classification results between computational tools and expert assessment.
- Analysis of concordance rates within specific chemical classes, including amines, lactones, and heterocycles.
Main Results:
- Significant discordance observed between Toxtree and OECD QSAR Toolbox (16% of materials).
- Overall concordance with expert judgment: 83% for Toxtree and 77% for OECD QSAR Toolbox.
- Lowest agreement with expert judgment for amines, lactones, and heterocycles, particularly with Toxtree.
Conclusions:
- Computational tools show variability in Cramer classification, necessitating expert oversight.
- Specific chemical classes like amines, lactones, and heterocycles require careful assessment.
- Refined strategies are needed for accurate Cramer classification to ensure risk assessment integrity.
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