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Open Access VirtualToxLabin silico Prediction of the Endocrine-Disrupting Potential of Drugs and Chemicals

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In the last decade, we have developed and validated an in silico concept based on multidimensional QSAR (mQSAR) for the prediction of the toxic potential of drugs and environmental chemicals. Presently, the VirtualToxLab includes eleven so-called virtual test kits for estrogen (α/β), androgen, thyroid (α/β), glucocorticoid, aryl hydrocarbon, mineralocorticoid and peroxisome proliferator-activated receptor γ as well as for the enzymes cytochrome P450 3A4 and 2A13. The surrogates have been tested against a total of 824 compounds and are able to predict the binding affinity close to the experimental uncertainty with only six of the 194 test compounds giving calculated results more than a factor of 10 off the experimental binding affinity and the maximal individual deviation not exceeding a factor of 15. These results suggest that our approach is suited for the in silico identification of endocrine-disrupting effects triggered by drugs and environmental chemicals. Most recently, the technology has been made available through the Internet for academic laboratories, hospitals and environmental organizations.

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Keywords: IN SILICO PREDICTION OF THE ENDOCRINE-DISRUPTING POTENTIAL; MOLECULAR MODELING; MULTIDIMENSIONAL QSAR; VIRTUALTOXLAB

Document Type: Research Article

Publication date: May 1, 2008

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  • International Journal for Chemistry and Official Membership Journal of the Swiss Chemical Society (SCS) and its Divisions

    CHIMIA, a scientific journal for chemistry in the broadest sense, is published 10 times a year and covers the interests of a wide and diverse readership. Contributions from all fields of chemistry and related areas are considered for publication in the form of Review Articles and Notes. A characteristic feature of CHIMIA are the thematic issues, each devoted to an area of great current significance.

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