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Open AccessArticle

Experimental Data Extraction and in Silico Prediction of the Estrogenic Activity of Renewable Replacements for Bisphenol A

1
Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA
2
Research Department, Chemistry Division, Naval Air Warfare Center Weapons Division, China Lake, Ridgecrest, CA 93555, USA
3
Department of Chemical and Biological Engineering, Drexel University, 3141 Chestnut St., Philadelphia, PA 19104, USA
4
Department of Chemical Engineering, Rowan University, Glassboro, NJ 08028, USA
5
RDRL-WMM-C, Army Research Laboratory, 4600 Deer Creek Loop, Aberdeen Proving Ground, Aberdeen, MD 21005, USA
*
Authors to whom correspondence should be addressed.
Academic Editor: Paul B. Tchounwou
Int. J. Environ. Res. Public Health 2016, 13(7), 705; https://doi.org/10.3390/ijerph13070705
Received: 1 June 2016 / Revised: 1 July 2016 / Accepted: 5 July 2016 / Published: 12 July 2016
(This article belongs to the Special Issue Endocrine Disruptors and Public Health)
Bisphenol A (BPA) is a ubiquitous compound used in polymer manufacturing for a wide array of applications; however, increasing evidence has shown that BPA causes significant endocrine disruption and this has raised public concerns over safety and exposure limits. The use of renewable materials as polymer feedstocks provides an opportunity to develop replacement compounds for BPA that are sustainable and exhibit unique properties due to their diverse structures. As new bio-based materials are developed and tested, it is important to consider the impacts of both monomers and polymers on human health. Molecular docking simulations using the Estrogenic Activity Database in conjunction with the decision forest were performed as part of a two-tier in silico model to predict the activity of 29 bio-based platform chemicals in the estrogen receptor-α (ERα). Fifteen of the candidates were predicted as ER binders and fifteen as non-binders. Gaining insight into the estrogenic activity of the bio-based BPA replacements aids in the sustainable development of new polymeric materials. View Full-Text
Keywords: bio-based; BPA replacement; endocrine disruption ER bio-based; BPA replacement; endocrine disruption ER
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MDPI and ACS Style

Hong, H.; Harvey, B.G.; Palmese, G.R.; Stanzione, J.F.; Ng, H.W.; Sakkiah, S.; Tong, W.; Sadler, J.M. Experimental Data Extraction and in Silico Prediction of the Estrogenic Activity of Renewable Replacements for Bisphenol A. Int. J. Environ. Res. Public Health 2016, 13, 705. https://doi.org/10.3390/ijerph13070705

AMA Style

Hong H, Harvey BG, Palmese GR, Stanzione JF, Ng HW, Sakkiah S, Tong W, Sadler JM. Experimental Data Extraction and in Silico Prediction of the Estrogenic Activity of Renewable Replacements for Bisphenol A. International Journal of Environmental Research and Public Health. 2016; 13(7):705. https://doi.org/10.3390/ijerph13070705

Chicago/Turabian Style

Hong, Huixiao; Harvey, Benjamin G.; Palmese, Giuseppe R.; Stanzione, Joseph F.; Ng, Hui W.; Sakkiah, Sugunadevi; Tong, Weida; Sadler, Joshua M. 2016. "Experimental Data Extraction and in Silico Prediction of the Estrogenic Activity of Renewable Replacements for Bisphenol A" Int. J. Environ. Res. Public Health 13, no. 7: 705. https://doi.org/10.3390/ijerph13070705

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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