IDENTIFICATION OF ENDOCRINE DISRUPTING CHEMICALS BY IN SILICO METHODS
Published: 28 May 2015
Abstract: Identification of endocrine disrupting chemicals (EDCs) is one of the important goals of environmental chemical hazard screening. It is exhaustive and time consuming to test in vitro all chemicals – potential EDCs – used in industry, agriculture or as food preservatives against their effects on the endocrine system. Computational methods, such as virtual screening, quantitative structure activity relationships and docking, are already well recognized and used in many strategic programs for identification of EDCs. The aim of this study was to evaluate the predictive performances of model for identification of EDCs integrated in non-commercial software tool. The resulting statistics indicated that the binding affinities of the majority of chemicals included in the external validation dataset could be correctly predicted. However, a set of further improvements has been suggested in order to increase the predictive ability of the current profiling scheme for EDCs.
Keywords: estrogen receptor, qsar, virtual screening, endocrine disruptors, in silico tools
Download full text
Back to the contents of the volume
© 2017 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/
, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This permission does not cover any third party copyrighted material which may appear in the work requested.