Evidence map›Paper›PMID 27420082›Full record

ArticleInternational journal of environmental research and public health2016

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

Huixiao Hong, Benjamin G Harvey, Giuseppe R Palmese, Joseph F Stanzione, Hui Wen Ng, Sugunadevi Sakkiah, Weida Tong, Joshua M Sadler

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
10.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 75 citations in OpenAlex.

  1. Review
  2. Article
  3. Machine learning and deep learning for brain tumor MRI image segmentation.Experimental biology and medicine (Maywood, N.J.) · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Huixiao HongDivision of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA. huixiao.hong@fda.hhs.gov.
Benjamin G HarveyResearch Department, Chemistry Division, Naval Air Warfare Center Weapons Division, China Lake, Ridgecrest, CA 93555, USA. benjamin.g.harvey@navy.mil.
Giuseppe R PalmeseDepartment of Chemical and Biological Engineering, Drexel University, 3141 Chestnut St., Philadelphia, PA 19104, USA. grp27@drexel.edu.
Joseph F StanzioneDepartment of Chemical Engineering, Rowan University, Glassboro, NJ 08028, USA. stanzione@rowan.edu.
Hui Wen NgDivision of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA. ng.huiwen@yahoo.com.
Sugunadevi SakkiahDivision of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA. Suguna.Sakkiah@fda.hhs.gov.
Weida TongDivision of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA. Weida.Tong@fda.hhs.gov.
Joshua M SadlerRDRL-WMM-C, Army Research Laboratory, 4600 Deer Creek Loop, Aberdeen Proving Ground, Aberdeen, MD 21005, USA. joshua.m.sadler4@mail.mil.
National Center for Toxicological Research · USDEVCOM Army Research Laboratory · USDrexel University · USNaval Air Warfare Center Weapons Division · USRowan University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Molecular Docking SimulationBenzhydryl CompoundsBisphenol A CompoundsComputer SimulationEndocrine DisruptorsEstrogen Receptor alphaHumansPhenolsBenzhydryl Compoundsbisphenol ABisphenol A CompoundsEndocrine DisruptorsESR1 protein, humanEstrogen Receptor alphaPhenolsbio-basedBPA replacementendocrine disruption ER

Identifiers

PMID27420082
PMCPMC4962246
OpenAlexW2462988311

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.