PBT profiling of pre-registered substances – by QSAR ... - REACh
PBT profiling of pre-registered substances – by QSAR ... - REACh
PBT profiling of pre-registered substances – by QSAR ... - REACh
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Conclusions<br />
I. Structures for PRS-Inventory have been generated and<br />
define the chemical space <strong>of</strong> REACH<br />
II. Pre-<strong>registered</strong> <strong>substances</strong> were screened for <strong>PBT</strong> properties<br />
I. P <strong>by</strong> EPISUITE BIOW<br />
II. B, T <strong>by</strong> JRC models<br />
III. Applicability domain <strong>of</strong> <strong>QSAR</strong> has been determined <strong>by</strong><br />
I. Fragments properties<br />
II. Descriptors properties<br />
IV. Applicability domain demonstrates that <strong>QSAR</strong> models do not<br />
cover whole range <strong>of</strong> PRS and indicate areas for further<br />
testing<br />
V. Evaluation <strong>of</strong> the models with PPP data shows poor<br />
performance but that the models applicability domain does<br />
not cover PPP to an extent > 50%<br />
VI. Comparison with <strong>PBT</strong> TCNES evaluation shows good<br />
<strong>pre</strong>diction <strong>of</strong> true negatives, but also <strong>pre</strong>diction <strong>of</strong> many<br />
false negatives<br />
Thank you for your attention!<br />
Special thanks to<br />
Andrew Worth, Stefania Gotthardo (DG JRC<br />
Computational Toxicology)<br />
Andrew Yerin (ACD Labs)<br />
Robert Frankiewicz (Simulations+)<br />
Thomas Kraemer (German Federal<br />
Environmental Agency)<br />
Emilio Benfenati (CAESAR)<br />
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