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

Bibliographic Data

ID15514826
AuthorsHuixiao Hong (0000-0001-8087-3968, National Center for Toxicological Research, corresponding author), Benjamin G Harvey (0000-0003-2091-3539, Naval Air Warfare Center Weapons Division), Benjamin Harvey (Naval Air Warfare Center Weapons Division), Giuseppe R Palmese (0000-0002-0063-2425, Drexel University), Joseph F Stanzione (0000-0003-0464-835X, Rowan University), Joseph Stanzione (Rowan University), Hui Wen Ng (National Center for Toxicological Research), Hui Ng (National Center for Toxicological Research), Sugunadevi Sakkiah (0000-0002-8337-9348, National Center for Toxicological Research), Weida Tong (0000-0003-3488-6148, National Center for Toxicological Research), Joshua M Sadler (DEVCOM Army Research Laboratory, corresponding author), Joshua Sadler (RDRL-WMM-C, Army Research Laboratory, 4600 Deer Creek Loop, Aberdeen Proving Ground, Aberdeen, MD 21005, USA)
Year2016
Volume13
Issue7
Pages705-705
Publication date2016-07-12
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph13070705
PMID27420082
OpenAlexW2462988311
LanguageEN
References cited58

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

Biochemical engineering · Biology · Bisphenol · Bisphenol A · Breast cancer · Estrogen receptor · Human health · In silico · Polymer · Renewable energy · Chemistry · Chemistry and Chemical Engineering · Computational Drug Discovery Methods · Computer Science · Effects and risks of endocrine disrupting chemicals · Engineering · Environmental Science · Medicine · Biochemistry · Internal Medicine · Organic Chemistry

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Highly citedNo

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