Qsar introduction beginners

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  • 1.

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.

    • CMR
    • PBT
    • vPvB
  • Theres alarger agreement
  • onthe use of non-animal values

QSAR can be used 19.

    • More requirementscompared to prioritization
    • Procedure defined
    • Lack of data accepted presenting the documentation
  • Predicted valuescanbe better
  • thanlack of data

QSAR can be used 20.

    • Continuous values and categories
    • Strict requirements
    • 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.