viernes, 4 de noviembre de 2016

NCTR Publications > NCTR Research Highlights

NCTR Publications > NCTR Research Highlights

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Current Highlight from October 28, 2016

Model for Prediction of Estrogenic Activity in Sunscreen Product Ingredients     
Scientists from FDA's NCTR and CDER developed a computational model to predict the estrogen receptor binding activity of sunscreen product ingredients. As proof of principle, the consensus model was applied to 32 chemicals used in sunscreen products. The model, which consists of two NCTR-developed Decision Forest models built on two different training sets, predicted estrogenic activity for seven of the 32 chemicalsfive of which were confirmed by previously published data. The model has potential for use as a risk-assessment tool when available scientific data is inadequate and represents advancement in the characterization of estrogenic activity in widely used consumer products such as sunscreens. This publication is now available online at International Journal of Environmental Research and Public Health.disclaimer icon
For more information, please contact Huixiao Hong, Ph.D., Division of Bioinformatics and Biostatistics, FDA/NCTR or Diego Rua, Ph.D., Division of Nonprescription Drug Products, FDA/CDER.  

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