Qsar introduction beginners
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Transcript of Qsar introduction beginners
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2. =f() 3. 4. 5. 6. 7. 8. Toxicity MW Series of CONGENERIES 9. 10. 11.
- Discriminant Analysis
- CART
- KNN
- Fuzzy logic
- Multi Variate Analysis (MVA)
- Self Organizing Map (SOM)
- Support Vector Machine(SVM)
f(x) regressions classification x1 x2 12. 13. 14. REACH promotes Innovation (Article 1)All Infoshould be used QSARis mentioned 15. TARGET is Environment / Man 16.
- Innovation(also in view of thousands of new data - ToxCast)
- Time for experiments
- Occurrence of enough laboratories/resources
- Costs
- Animals
- Prioritization needs
- Pro-active approach for safer chemicals
Seven Reasons to use QSAR 17. 18.
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- CMR
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- PBT
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- vPvB
- Theres alarger agreement
- onthe use of non-animal values
QSAR can be used 19.
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- More requirementscompared to prioritization
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- Procedure defined
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- Lack of data accepted presenting the documentation
- Predicted valuescanbe better
- thanlack of data
QSAR can be used 20.
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- Continuous values and categories
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- Strict requirements
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- Use of additional information( all data ): weight of evidenceORkey study
QSAR can be used 21. PHYSICO-CHEMICAL PROPERTIEShavelowexperimental variability andmany data CHRONIC HUMAN TOXICITYhashighvariabilityandlow number of data 22. On one sidewe have the starting data for a certainendpoint , at the basis of the model On the other sidewe have a specific use 23. 24. 25. 26.